Action not permitted
Modal body text goes here.
Modal Title
Modal Body
CVE-2017-12852 (GCVE-0-2017-12852)
Vulnerability from cvelistv5
- n/a
{ "containers": { "adp": [ { "providerMetadata": { "dateUpdated": "2024-08-05T18:51:06.687Z", "orgId": "af854a3a-2127-422b-91ae-364da2661108", "shortName": "CVE" }, "references": [ { "tags": [ "x_refsource_MISC", "x_transferred" ], "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852" }, { "tags": [ "x_refsource_CONFIRM", "x_transferred" ], "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292" } ], "title": "CVE Program Container" } ], "cna": { "affected": [ { "product": "n/a", "vendor": "n/a", "versions": [ { "status": "affected", "version": "n/a" } ] } ], "datePublic": "2017-08-14T00:00:00", "descriptions": [ { "lang": "en", "value": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack." } ], "problemTypes": [ { "descriptions": [ { "description": "n/a", "lang": "en", "type": "text" } ] } ], "providerMetadata": { "dateUpdated": "2018-02-28T21:57:02", "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca", "shortName": "mitre" }, "references": [ { "tags": [ "x_refsource_MISC" ], "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852" }, { "tags": [ "x_refsource_CONFIRM" ], "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292" } ], "x_legacyV4Record": { "CVE_data_meta": { "ASSIGNER": "cve@mitre.org", "ID": "CVE-2017-12852", "STATE": "PUBLIC" }, "affects": { "vendor": { "vendor_data": [ { "product": { "product_data": [ { "product_name": "n/a", "version": { "version_data": [ { "version_value": "n/a" } ] } } ] }, "vendor_name": "n/a" } ] } }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "eng", "value": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack." } ] }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "eng", "value": "n/a" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852", "refsource": "MISC", "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852" }, { "name": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292", "refsource": "CONFIRM", "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292" } ] } } } }, "cveMetadata": { "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca", "assignerShortName": "mitre", "cveId": "CVE-2017-12852", "datePublished": "2017-08-15T16:00:00", "dateReserved": "2017-08-14T00:00:00", "dateUpdated": "2024-08-05T18:51:06.687Z", "state": "PUBLISHED" }, "dataType": "CVE_RECORD", "dataVersion": "5.1", "vulnerability-lookup:meta": { "nvd": "{\"cve\":{\"id\":\"CVE-2017-12852\",\"sourceIdentifier\":\"cve@mitre.org\",\"published\":\"2017-08-15T16:29:00.200\",\"lastModified\":\"2025-04-20T01:37:25.860\",\"vulnStatus\":\"Deferred\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.\"},{\"lang\":\"es\",\"value\":\"La funci\u00f3n numpy.pad en Numpy 1.13.1 y versiones anteriores no cuenta con validaci\u00f3n de entrada. Una lista vac\u00eda o ndarray entrar\u00e1 en un bucle infinito, lo que puede propiciar que los atacantes provoquen un ataque DoS.\"}],\"metrics\":{\"cvssMetricV30\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.0\",\"vectorString\":\"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H\",\"baseScore\":7.5,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":3.9,\"impactScore\":3.6}],\"cvssMetricV2\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"2.0\",\"vectorString\":\"AV:N/AC:L/Au:N/C:N/I:N/A:P\",\"baseScore\":5.0,\"accessVector\":\"NETWORK\",\"accessComplexity\":\"LOW\",\"authentication\":\"NONE\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"PARTIAL\"},\"baseSeverity\":\"MEDIUM\",\"exploitabilityScore\":10.0,\"impactScore\":2.9,\"acInsufInfo\":true,\"obtainAllPrivilege\":false,\"obtainUserPrivilege\":false,\"obtainOtherPrivilege\":false,\"userInteractionRequired\":false}]},\"weaknesses\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-835\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:*\",\"versionEndIncluding\":\"1.13.1\",\"matchCriteriaId\":\"516F3D03-E951-43EA-A475-CB22E2833667\"}]}]}],\"references\":[{\"url\":\"https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852\",\"source\":\"cve@mitre.org\"},{\"url\":\"https://github.com/numpy/numpy/issues/9560#issuecomment-322395292\",\"source\":\"cve@mitre.org\",\"tags\":[\"Exploit\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\"},{\"url\":\"https://github.com/numpy/numpy/issues/9560#issuecomment-322395292\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Exploit\",\"Third Party Advisory\"]}]}}" } }
opensuse-su-2024:11243-1
Vulnerability from csaf_opensuse
Notes
{ "document": { "aggregate_severity": { "namespace": "https://www.suse.com/support/security/rating/", "text": "moderate" }, "category": "csaf_security_advisory", "csaf_version": "2.0", "distribution": { "text": "Copyright 2024 SUSE LLC. All rights reserved.", "tlp": { "label": "WHITE", "url": "https://www.first.org/tlp/" } }, "lang": "en", "notes": [ { "category": "summary", "text": "python38-numpy-1.21.2-1.1 on GA media", "title": "Title of the patch" }, { "category": "description", "text": "These are all security issues fixed in the python38-numpy-1.21.2-1.1 package on the GA media of openSUSE Tumbleweed.", "title": "Description of the patch" }, { "category": "details", "text": "openSUSE-Tumbleweed-2024-11243", "title": "Patchnames" }, { "category": "legal_disclaimer", "text": "CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).", "title": "Terms of use" } ], "publisher": { "category": "vendor", "contact_details": "https://www.suse.com/support/security/contact/", "name": "SUSE Product Security Team", "namespace": "https://www.suse.com/" }, "references": [ { "category": "external", "summary": "SUSE ratings", "url": "https://www.suse.com/support/security/rating/" }, { "category": "self", "summary": "URL of this CSAF notice", "url": "https://ftp.suse.com/pub/projects/security/csaf/opensuse-su-2024_11243-1.json" }, { "category": "self", "summary": "SUSE CVE CVE-2017-12852 page", "url": "https://www.suse.com/security/cve/CVE-2017-12852/" }, { "category": "self", "summary": "SUSE CVE CVE-2019-6446 page", "url": "https://www.suse.com/security/cve/CVE-2019-6446/" } ], "title": "python38-numpy-1.21.2-1.1 on GA media", "tracking": { "current_release_date": "2024-06-15T00:00:00Z", "generator": { "date": "2024-06-15T00:00:00Z", "engine": { "name": "cve-database.git:bin/generate-csaf.pl", "version": "1" } }, "id": "openSUSE-SU-2024:11243-1", "initial_release_date": "2024-06-15T00:00:00Z", "revision_history": [ { "date": "2024-06-15T00:00:00Z", "number": "1", "summary": "Current version" } ], "status": "final", "version": "1" } }, "product_tree": { "branches": [ { "branches": [ { "branches": [ { "category": "product_version", "name": "python38-numpy-1.21.2-1.1.aarch64", "product": { "name": "python38-numpy-1.21.2-1.1.aarch64", "product_id": "python38-numpy-1.21.2-1.1.aarch64" } }, { "category": "product_version", "name": "python38-numpy-devel-1.21.2-1.1.aarch64", "product": { "name": "python38-numpy-devel-1.21.2-1.1.aarch64", "product_id": "python38-numpy-devel-1.21.2-1.1.aarch64" } }, { "category": "product_version", "name": "python39-numpy-1.21.2-1.1.aarch64", "product": { "name": "python39-numpy-1.21.2-1.1.aarch64", "product_id": "python39-numpy-1.21.2-1.1.aarch64" } }, { "category": "product_version", "name": "python39-numpy-devel-1.21.2-1.1.aarch64", "product": { "name": "python39-numpy-devel-1.21.2-1.1.aarch64", "product_id": "python39-numpy-devel-1.21.2-1.1.aarch64" } } ], "category": "architecture", "name": "aarch64" }, { "branches": [ { "category": "product_version", "name": "python38-numpy-1.21.2-1.1.ppc64le", "product": { "name": "python38-numpy-1.21.2-1.1.ppc64le", "product_id": "python38-numpy-1.21.2-1.1.ppc64le" } }, { "category": "product_version", "name": "python38-numpy-devel-1.21.2-1.1.ppc64le", "product": { "name": "python38-numpy-devel-1.21.2-1.1.ppc64le", "product_id": "python38-numpy-devel-1.21.2-1.1.ppc64le" } }, { "category": "product_version", "name": "python39-numpy-1.21.2-1.1.ppc64le", "product": { "name": "python39-numpy-1.21.2-1.1.ppc64le", "product_id": "python39-numpy-1.21.2-1.1.ppc64le" } }, { "category": "product_version", "name": "python39-numpy-devel-1.21.2-1.1.ppc64le", "product": { "name": "python39-numpy-devel-1.21.2-1.1.ppc64le", "product_id": "python39-numpy-devel-1.21.2-1.1.ppc64le" } } ], "category": "architecture", "name": "ppc64le" }, { "branches": [ { "category": "product_version", "name": "python38-numpy-1.21.2-1.1.s390x", "product": { "name": "python38-numpy-1.21.2-1.1.s390x", "product_id": "python38-numpy-1.21.2-1.1.s390x" } }, { "category": "product_version", "name": "python38-numpy-devel-1.21.2-1.1.s390x", "product": { "name": "python38-numpy-devel-1.21.2-1.1.s390x", "product_id": "python38-numpy-devel-1.21.2-1.1.s390x" } }, { "category": "product_version", "name": "python39-numpy-1.21.2-1.1.s390x", "product": { "name": "python39-numpy-1.21.2-1.1.s390x", "product_id": "python39-numpy-1.21.2-1.1.s390x" } }, { "category": "product_version", "name": "python39-numpy-devel-1.21.2-1.1.s390x", "product": { "name": "python39-numpy-devel-1.21.2-1.1.s390x", "product_id": "python39-numpy-devel-1.21.2-1.1.s390x" } } ], "category": "architecture", "name": "s390x" }, { "branches": [ { "category": "product_version", "name": "python38-numpy-1.21.2-1.1.x86_64", "product": { "name": "python38-numpy-1.21.2-1.1.x86_64", "product_id": "python38-numpy-1.21.2-1.1.x86_64" } }, { "category": "product_version", "name": "python38-numpy-devel-1.21.2-1.1.x86_64", "product": { "name": "python38-numpy-devel-1.21.2-1.1.x86_64", "product_id": "python38-numpy-devel-1.21.2-1.1.x86_64" } }, { "category": "product_version", "name": "python39-numpy-1.21.2-1.1.x86_64", "product": { "name": "python39-numpy-1.21.2-1.1.x86_64", "product_id": "python39-numpy-1.21.2-1.1.x86_64" } }, { "category": "product_version", "name": "python39-numpy-devel-1.21.2-1.1.x86_64", "product": { "name": "python39-numpy-devel-1.21.2-1.1.x86_64", "product_id": "python39-numpy-devel-1.21.2-1.1.x86_64" } } ], "category": "architecture", "name": "x86_64" }, { "branches": [ { "category": "product_name", "name": "openSUSE Tumbleweed", "product": { "name": "openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed", "product_identification_helper": { "cpe": "cpe:/o:opensuse:tumbleweed" } } } ], "category": "product_family", "name": "SUSE Linux Enterprise" } ], "category": "vendor", "name": "SUSE" } ], "relationships": [ { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-1.21.2-1.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.aarch64" }, "product_reference": "python38-numpy-1.21.2-1.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-1.21.2-1.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.ppc64le" }, "product_reference": "python38-numpy-1.21.2-1.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-1.21.2-1.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.s390x" }, "product_reference": "python38-numpy-1.21.2-1.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-1.21.2-1.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.x86_64" }, "product_reference": "python38-numpy-1.21.2-1.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-devel-1.21.2-1.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.aarch64" }, "product_reference": "python38-numpy-devel-1.21.2-1.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-devel-1.21.2-1.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.ppc64le" }, "product_reference": "python38-numpy-devel-1.21.2-1.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-devel-1.21.2-1.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.s390x" }, "product_reference": "python38-numpy-devel-1.21.2-1.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-devel-1.21.2-1.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.x86_64" }, "product_reference": "python38-numpy-devel-1.21.2-1.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-1.21.2-1.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.aarch64" }, "product_reference": "python39-numpy-1.21.2-1.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-1.21.2-1.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.ppc64le" }, "product_reference": "python39-numpy-1.21.2-1.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-1.21.2-1.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.s390x" }, "product_reference": "python39-numpy-1.21.2-1.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-1.21.2-1.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.x86_64" }, "product_reference": "python39-numpy-1.21.2-1.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-devel-1.21.2-1.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.aarch64" }, "product_reference": "python39-numpy-devel-1.21.2-1.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-devel-1.21.2-1.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.ppc64le" }, "product_reference": "python39-numpy-devel-1.21.2-1.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-devel-1.21.2-1.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.s390x" }, "product_reference": "python39-numpy-devel-1.21.2-1.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-devel-1.21.2-1.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.x86_64" }, "product_reference": "python39-numpy-devel-1.21.2-1.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" } ] }, "vulnerabilities": [ { "cve": "CVE-2017-12852", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2017-12852" } ], "notes": [ { "category": "general", "text": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2017-12852", "url": "https://www.suse.com/security/cve/CVE-2017-12852" }, { "category": "external", "summary": "SUSE Bug 1053963 for CVE-2017-12852", "url": "https://bugzilla.suse.com/1053963" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 6.2, "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0" }, "products": [ "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-06-15T00:00:00Z", "details": "moderate" } ], "title": "CVE-2017-12852" }, { "cve": "CVE-2019-6446", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2019-6446" } ], "notes": [ { "category": "general", "text": "** DISPUTED ** An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2019-6446", "url": "https://www.suse.com/security/cve/CVE-2019-6446" }, { "category": "external", "summary": "SUSE Bug 1122208 for CVE-2019-6446", "url": "https://bugzilla.suse.com/1122208" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 7.8, "baseSeverity": "HIGH", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "version": "3.0" }, "products": [ "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-06-15T00:00:00Z", "details": "important" } ], "title": "CVE-2019-6446" } ] }
opensuse-su-2024:14311-1
Vulnerability from csaf_opensuse
Notes
{ "document": { "aggregate_severity": { "namespace": "https://www.suse.com/support/security/rating/", "text": "moderate" }, "category": "csaf_security_advisory", "csaf_version": "2.0", "distribution": { "text": "Copyright 2024 SUSE LLC. All rights reserved.", "tlp": { "label": "WHITE", "url": "https://www.first.org/tlp/" } }, "lang": "en", "notes": [ { "category": "summary", "text": "python310-numpy1-1.26.4-1.1 on GA media", "title": "Title of the patch" }, { "category": "description", "text": "These are all security issues fixed in the python310-numpy1-1.26.4-1.1 package on the GA media of openSUSE Tumbleweed.", "title": "Description of the patch" }, { "category": "details", "text": "openSUSE-Tumbleweed-2024-14311", "title": "Patchnames" }, { "category": "legal_disclaimer", "text": "CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).", "title": "Terms of use" } ], "publisher": { "category": "vendor", "contact_details": "https://www.suse.com/support/security/contact/", "name": "SUSE Product Security Team", "namespace": "https://www.suse.com/" }, "references": [ { "category": "external", "summary": "SUSE ratings", "url": "https://www.suse.com/support/security/rating/" }, { "category": "self", "summary": "URL of this CSAF notice", "url": "https://ftp.suse.com/pub/projects/security/csaf/opensuse-su-2024_14311-1.json" }, { "category": "self", "summary": "SUSE CVE CVE-2017-12852 page", "url": "https://www.suse.com/security/cve/CVE-2017-12852/" }, { "category": "self", "summary": "SUSE CVE CVE-2019-6446 page", "url": "https://www.suse.com/security/cve/CVE-2019-6446/" }, { "category": "self", "summary": "SUSE CVE CVE-2021-33430 page", "url": "https://www.suse.com/security/cve/CVE-2021-33430/" }, { "category": "self", "summary": "SUSE CVE CVE-2021-41495 page", "url": "https://www.suse.com/security/cve/CVE-2021-41495/" }, { "category": "self", "summary": "SUSE CVE CVE-2021-41496 page", "url": "https://www.suse.com/security/cve/CVE-2021-41496/" } ], "title": "python310-numpy1-1.26.4-1.1 on GA media", "tracking": { "current_release_date": "2024-09-04T00:00:00Z", "generator": { "date": "2024-09-04T00:00:00Z", "engine": { "name": "cve-database.git:bin/generate-csaf.pl", "version": "1" } }, "id": "openSUSE-SU-2024:14311-1", "initial_release_date": "2024-09-04T00:00:00Z", "revision_history": [ { "date": "2024-09-04T00:00:00Z", "number": "1", "summary": "Current version" } ], "status": "final", "version": "1" } }, "product_tree": { "branches": [ { "branches": [ { "branches": [ { "category": "product_version", "name": "python310-numpy1-1.26.4-1.1.aarch64", "product": { "name": "python310-numpy1-1.26.4-1.1.aarch64", "product_id": "python310-numpy1-1.26.4-1.1.aarch64" } }, { "category": "product_version", "name": "python310-numpy1-devel-1.26.4-1.1.aarch64", "product": { "name": "python310-numpy1-devel-1.26.4-1.1.aarch64", "product_id": "python310-numpy1-devel-1.26.4-1.1.aarch64" } }, { "category": "product_version", "name": "python311-numpy1-1.26.4-1.1.aarch64", "product": { "name": "python311-numpy1-1.26.4-1.1.aarch64", "product_id": "python311-numpy1-1.26.4-1.1.aarch64" } }, { "category": "product_version", "name": "python311-numpy1-devel-1.26.4-1.1.aarch64", "product": { "name": "python311-numpy1-devel-1.26.4-1.1.aarch64", "product_id": "python311-numpy1-devel-1.26.4-1.1.aarch64" } }, { "category": "product_version", "name": "python312-numpy1-1.26.4-1.1.aarch64", "product": { "name": "python312-numpy1-1.26.4-1.1.aarch64", "product_id": "python312-numpy1-1.26.4-1.1.aarch64" } }, { "category": "product_version", "name": "python312-numpy1-devel-1.26.4-1.1.aarch64", "product": { "name": "python312-numpy1-devel-1.26.4-1.1.aarch64", "product_id": "python312-numpy1-devel-1.26.4-1.1.aarch64" } } ], "category": "architecture", "name": "aarch64" }, { "branches": [ { "category": "product_version", "name": "python310-numpy1-1.26.4-1.1.ppc64le", "product": { "name": "python310-numpy1-1.26.4-1.1.ppc64le", "product_id": "python310-numpy1-1.26.4-1.1.ppc64le" } }, { "category": "product_version", "name": "python310-numpy1-devel-1.26.4-1.1.ppc64le", "product": { "name": "python310-numpy1-devel-1.26.4-1.1.ppc64le", "product_id": "python310-numpy1-devel-1.26.4-1.1.ppc64le" } }, { "category": "product_version", "name": "python311-numpy1-1.26.4-1.1.ppc64le", "product": { "name": "python311-numpy1-1.26.4-1.1.ppc64le", "product_id": "python311-numpy1-1.26.4-1.1.ppc64le" } }, { "category": "product_version", "name": "python311-numpy1-devel-1.26.4-1.1.ppc64le", "product": { "name": "python311-numpy1-devel-1.26.4-1.1.ppc64le", "product_id": "python311-numpy1-devel-1.26.4-1.1.ppc64le" } }, { "category": "product_version", "name": "python312-numpy1-1.26.4-1.1.ppc64le", "product": { "name": "python312-numpy1-1.26.4-1.1.ppc64le", "product_id": "python312-numpy1-1.26.4-1.1.ppc64le" } }, { "category": "product_version", "name": "python312-numpy1-devel-1.26.4-1.1.ppc64le", "product": { "name": "python312-numpy1-devel-1.26.4-1.1.ppc64le", "product_id": "python312-numpy1-devel-1.26.4-1.1.ppc64le" } } ], "category": "architecture", "name": "ppc64le" }, { "branches": [ { "category": "product_version", "name": "python310-numpy1-1.26.4-1.1.s390x", "product": { "name": "python310-numpy1-1.26.4-1.1.s390x", "product_id": "python310-numpy1-1.26.4-1.1.s390x" } }, { "category": "product_version", "name": "python310-numpy1-devel-1.26.4-1.1.s390x", "product": { "name": "python310-numpy1-devel-1.26.4-1.1.s390x", "product_id": "python310-numpy1-devel-1.26.4-1.1.s390x" } }, { "category": "product_version", "name": "python311-numpy1-1.26.4-1.1.s390x", "product": { "name": "python311-numpy1-1.26.4-1.1.s390x", "product_id": "python311-numpy1-1.26.4-1.1.s390x" } }, { "category": "product_version", "name": "python311-numpy1-devel-1.26.4-1.1.s390x", "product": { "name": "python311-numpy1-devel-1.26.4-1.1.s390x", "product_id": "python311-numpy1-devel-1.26.4-1.1.s390x" } }, { "category": "product_version", "name": "python312-numpy1-1.26.4-1.1.s390x", "product": { "name": "python312-numpy1-1.26.4-1.1.s390x", "product_id": "python312-numpy1-1.26.4-1.1.s390x" } }, { "category": "product_version", "name": "python312-numpy1-devel-1.26.4-1.1.s390x", "product": { "name": "python312-numpy1-devel-1.26.4-1.1.s390x", "product_id": "python312-numpy1-devel-1.26.4-1.1.s390x" } } ], "category": "architecture", "name": "s390x" }, { "branches": [ { "category": "product_version", "name": "python310-numpy1-1.26.4-1.1.x86_64", "product": { "name": "python310-numpy1-1.26.4-1.1.x86_64", "product_id": "python310-numpy1-1.26.4-1.1.x86_64" } }, { "category": "product_version", "name": "python310-numpy1-devel-1.26.4-1.1.x86_64", "product": { "name": "python310-numpy1-devel-1.26.4-1.1.x86_64", "product_id": "python310-numpy1-devel-1.26.4-1.1.x86_64" } }, { "category": "product_version", "name": "python311-numpy1-1.26.4-1.1.x86_64", "product": { "name": "python311-numpy1-1.26.4-1.1.x86_64", "product_id": "python311-numpy1-1.26.4-1.1.x86_64" } }, { "category": "product_version", "name": "python311-numpy1-devel-1.26.4-1.1.x86_64", "product": { "name": "python311-numpy1-devel-1.26.4-1.1.x86_64", "product_id": "python311-numpy1-devel-1.26.4-1.1.x86_64" } }, { "category": "product_version", "name": "python312-numpy1-1.26.4-1.1.x86_64", "product": { "name": "python312-numpy1-1.26.4-1.1.x86_64", "product_id": "python312-numpy1-1.26.4-1.1.x86_64" } }, { "category": "product_version", "name": "python312-numpy1-devel-1.26.4-1.1.x86_64", "product": { "name": "python312-numpy1-devel-1.26.4-1.1.x86_64", "product_id": "python312-numpy1-devel-1.26.4-1.1.x86_64" } } ], "category": "architecture", "name": "x86_64" }, { "branches": [ { "category": "product_name", "name": "openSUSE Tumbleweed", "product": { "name": "openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed", "product_identification_helper": { "cpe": "cpe:/o:opensuse:tumbleweed" } } } ], "category": "product_family", "name": "SUSE Linux Enterprise" } ], "category": "vendor", "name": "SUSE" } ], "relationships": [ { "category": "default_component_of", "full_product_name": { "name": "python310-numpy1-1.26.4-1.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64" }, "product_reference": "python310-numpy1-1.26.4-1.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python310-numpy1-1.26.4-1.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le" }, "product_reference": "python310-numpy1-1.26.4-1.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python310-numpy1-1.26.4-1.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x" }, "product_reference": "python310-numpy1-1.26.4-1.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python310-numpy1-1.26.4-1.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64" }, "product_reference": "python310-numpy1-1.26.4-1.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python310-numpy1-devel-1.26.4-1.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64" }, "product_reference": "python310-numpy1-devel-1.26.4-1.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python310-numpy1-devel-1.26.4-1.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le" }, "product_reference": "python310-numpy1-devel-1.26.4-1.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python310-numpy1-devel-1.26.4-1.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x" }, "product_reference": "python310-numpy1-devel-1.26.4-1.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python310-numpy1-devel-1.26.4-1.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64" }, "product_reference": "python310-numpy1-devel-1.26.4-1.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy1-1.26.4-1.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64" }, "product_reference": "python311-numpy1-1.26.4-1.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy1-1.26.4-1.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le" }, "product_reference": "python311-numpy1-1.26.4-1.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy1-1.26.4-1.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x" }, "product_reference": "python311-numpy1-1.26.4-1.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy1-1.26.4-1.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64" }, "product_reference": "python311-numpy1-1.26.4-1.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy1-devel-1.26.4-1.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64" }, "product_reference": "python311-numpy1-devel-1.26.4-1.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy1-devel-1.26.4-1.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le" }, "product_reference": "python311-numpy1-devel-1.26.4-1.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy1-devel-1.26.4-1.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x" }, "product_reference": "python311-numpy1-devel-1.26.4-1.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy1-devel-1.26.4-1.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64" }, "product_reference": "python311-numpy1-devel-1.26.4-1.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy1-1.26.4-1.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64" }, "product_reference": "python312-numpy1-1.26.4-1.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy1-1.26.4-1.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le" }, "product_reference": "python312-numpy1-1.26.4-1.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy1-1.26.4-1.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x" }, "product_reference": "python312-numpy1-1.26.4-1.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy1-1.26.4-1.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64" }, "product_reference": "python312-numpy1-1.26.4-1.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy1-devel-1.26.4-1.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64" }, "product_reference": "python312-numpy1-devel-1.26.4-1.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy1-devel-1.26.4-1.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le" }, "product_reference": "python312-numpy1-devel-1.26.4-1.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy1-devel-1.26.4-1.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x" }, "product_reference": "python312-numpy1-devel-1.26.4-1.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy1-devel-1.26.4-1.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" }, "product_reference": "python312-numpy1-devel-1.26.4-1.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" } ] }, "vulnerabilities": [ { "cve": "CVE-2017-12852", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2017-12852" } ], "notes": [ { "category": "general", "text": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2017-12852", "url": "https://www.suse.com/security/cve/CVE-2017-12852" }, { "category": "external", "summary": "SUSE Bug 1053963 for CVE-2017-12852", "url": "https://bugzilla.suse.com/1053963" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 6.2, "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0" }, "products": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-09-04T00:00:00Z", "details": "moderate" } ], "title": "CVE-2017-12852" }, { "cve": "CVE-2019-6446", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2019-6446" } ], "notes": [ { "category": "general", "text": "** DISPUTED ** An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2019-6446", "url": "https://www.suse.com/security/cve/CVE-2019-6446" }, { "category": "external", "summary": "SUSE Bug 1122208 for CVE-2019-6446", "url": "https://bugzilla.suse.com/1122208" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 7.8, "baseSeverity": "HIGH", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "version": "3.0" }, "products": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-09-04T00:00:00Z", "details": "important" } ], "title": "CVE-2019-6446" }, { "cve": "CVE-2021-33430", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2021-33430" } ], "notes": [ { "category": "general", "text": "** DISPUTED ** A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulneraility; In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user.", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2021-33430", "url": "https://www.suse.com/security/cve/CVE-2021-33430" }, { "category": "external", "summary": "SUSE Bug 1193913 for CVE-2021-33430", "url": "https://bugzilla.suse.com/1193913" }, { "category": "external", "summary": "SUSE Bug 1201968 for CVE-2021-33430", "url": "https://bugzilla.suse.com/1201968" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 7.5, "baseSeverity": "HIGH", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.1" }, "products": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-09-04T00:00:00Z", "details": "important" } ], "title": "CVE-2021-33430" }, { "cve": "CVE-2021-41495", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2021-41495" } ], "notes": [ { "category": "general", "text": "** DISPUTED ** Null Pointer Dereference vulnerability exists in numpy.sort in NumPy \u0026lt and 1.19 in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place.", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2021-41495", "url": "https://www.suse.com/security/cve/CVE-2021-41495" }, { "category": "external", "summary": "SUSE Bug 1193911 for CVE-2021-41495", "url": "https://bugzilla.suse.com/1193911" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 5.5, "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H", "version": "3.1" }, "products": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-09-04T00:00:00Z", "details": "moderate" } ], "title": "CVE-2021-41495" }, { "cve": "CVE-2021-41496", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2021-41496" } ], "notes": [ { "category": "general", "text": "** DISPUTED ** Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy \u003c 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally).", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2021-41496", "url": "https://www.suse.com/security/cve/CVE-2021-41496" }, { "category": "external", "summary": "SUSE Bug 1193907 for CVE-2021-41496", "url": "https://bugzilla.suse.com/1193907" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 5.5, "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H", "version": "3.1" }, "products": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-09-04T00:00:00Z", "details": "moderate" } ], "title": "CVE-2021-41496" } ] }
opensuse-su-2024:13820-1
Vulnerability from csaf_opensuse
Notes
{ "document": { "aggregate_severity": { "namespace": "https://www.suse.com/support/security/rating/", "text": "moderate" }, "category": "csaf_security_advisory", "csaf_version": "2.0", "distribution": { "text": "Copyright 2024 SUSE LLC. All rights reserved.", "tlp": { "label": "WHITE", "url": "https://www.first.org/tlp/" } }, "lang": "en", "notes": [ { "category": "summary", "text": "python310-numpy-1.26.2-5.1 on GA media", "title": "Title of the patch" }, { "category": "description", "text": "These are all security issues fixed in the python310-numpy-1.26.2-5.1 package on the GA media of openSUSE Tumbleweed.", "title": "Description of the patch" }, { "category": "details", "text": "openSUSE-Tumbleweed-2024-13820", "title": "Patchnames" }, { "category": "legal_disclaimer", "text": "CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).", "title": "Terms of use" } ], "publisher": { "category": "vendor", "contact_details": "https://www.suse.com/support/security/contact/", "name": "SUSE Product Security Team", "namespace": "https://www.suse.com/" }, "references": [ { "category": "external", "summary": "SUSE ratings", "url": "https://www.suse.com/support/security/rating/" }, { "category": "self", "summary": "URL of this CSAF notice", "url": "https://ftp.suse.com/pub/projects/security/csaf/opensuse-su-2024_13820-1.json" }, { "category": "self", "summary": "SUSE CVE CVE-2017-12852 page", "url": "https://www.suse.com/security/cve/CVE-2017-12852/" }, { "category": "self", "summary": "SUSE CVE CVE-2019-6446 page", "url": "https://www.suse.com/security/cve/CVE-2019-6446/" } ], "title": "python310-numpy-1.26.2-5.1 on GA media", "tracking": { "current_release_date": "2024-06-15T00:00:00Z", "generator": { "date": "2024-06-15T00:00:00Z", "engine": { "name": "cve-database.git:bin/generate-csaf.pl", "version": "1" } }, "id": "openSUSE-SU-2024:13820-1", "initial_release_date": "2024-06-15T00:00:00Z", "revision_history": [ { "date": "2024-06-15T00:00:00Z", "number": "1", "summary": "Current version" } ], "status": "final", "version": "1" } }, "product_tree": { "branches": [ { "branches": [ { "branches": [ { "category": "product_version", "name": "python310-numpy-1.26.2-5.1.aarch64", "product": { "name": "python310-numpy-1.26.2-5.1.aarch64", "product_id": "python310-numpy-1.26.2-5.1.aarch64" } }, { "category": "product_version", "name": "python310-numpy-devel-1.26.2-5.1.aarch64", "product": { "name": "python310-numpy-devel-1.26.2-5.1.aarch64", "product_id": "python310-numpy-devel-1.26.2-5.1.aarch64" } }, { "category": "product_version", "name": "python311-numpy-1.26.2-5.1.aarch64", "product": { "name": "python311-numpy-1.26.2-5.1.aarch64", "product_id": "python311-numpy-1.26.2-5.1.aarch64" } }, { "category": "product_version", "name": "python311-numpy-devel-1.26.2-5.1.aarch64", "product": { "name": "python311-numpy-devel-1.26.2-5.1.aarch64", "product_id": "python311-numpy-devel-1.26.2-5.1.aarch64" } }, { "category": "product_version", "name": "python312-numpy-1.26.2-5.1.aarch64", "product": { "name": "python312-numpy-1.26.2-5.1.aarch64", "product_id": "python312-numpy-1.26.2-5.1.aarch64" } }, { "category": "product_version", "name": "python312-numpy-devel-1.26.2-5.1.aarch64", "product": { "name": "python312-numpy-devel-1.26.2-5.1.aarch64", "product_id": "python312-numpy-devel-1.26.2-5.1.aarch64" } } ], "category": "architecture", "name": "aarch64" }, { "branches": [ { "category": "product_version", "name": "python310-numpy-1.26.2-5.1.ppc64le", "product": { "name": "python310-numpy-1.26.2-5.1.ppc64le", "product_id": "python310-numpy-1.26.2-5.1.ppc64le" } }, { "category": "product_version", "name": "python310-numpy-devel-1.26.2-5.1.ppc64le", "product": { "name": "python310-numpy-devel-1.26.2-5.1.ppc64le", "product_id": "python310-numpy-devel-1.26.2-5.1.ppc64le" } }, { "category": "product_version", "name": "python311-numpy-1.26.2-5.1.ppc64le", "product": { "name": "python311-numpy-1.26.2-5.1.ppc64le", "product_id": "python311-numpy-1.26.2-5.1.ppc64le" } }, { "category": "product_version", "name": "python311-numpy-devel-1.26.2-5.1.ppc64le", "product": { "name": "python311-numpy-devel-1.26.2-5.1.ppc64le", "product_id": "python311-numpy-devel-1.26.2-5.1.ppc64le" } }, { "category": "product_version", "name": "python312-numpy-1.26.2-5.1.ppc64le", "product": { "name": "python312-numpy-1.26.2-5.1.ppc64le", "product_id": "python312-numpy-1.26.2-5.1.ppc64le" } }, { "category": "product_version", "name": "python312-numpy-devel-1.26.2-5.1.ppc64le", "product": { "name": "python312-numpy-devel-1.26.2-5.1.ppc64le", "product_id": "python312-numpy-devel-1.26.2-5.1.ppc64le" } } ], "category": "architecture", "name": "ppc64le" }, { "branches": [ { "category": "product_version", "name": "python310-numpy-1.26.2-5.1.s390x", "product": { "name": "python310-numpy-1.26.2-5.1.s390x", "product_id": "python310-numpy-1.26.2-5.1.s390x" } }, { "category": "product_version", "name": "python310-numpy-devel-1.26.2-5.1.s390x", "product": { "name": "python310-numpy-devel-1.26.2-5.1.s390x", "product_id": "python310-numpy-devel-1.26.2-5.1.s390x" } }, { "category": "product_version", "name": "python311-numpy-1.26.2-5.1.s390x", "product": { "name": "python311-numpy-1.26.2-5.1.s390x", "product_id": "python311-numpy-1.26.2-5.1.s390x" } }, { "category": "product_version", "name": "python311-numpy-devel-1.26.2-5.1.s390x", "product": { "name": "python311-numpy-devel-1.26.2-5.1.s390x", "product_id": "python311-numpy-devel-1.26.2-5.1.s390x" } }, { "category": "product_version", "name": "python312-numpy-1.26.2-5.1.s390x", "product": { "name": "python312-numpy-1.26.2-5.1.s390x", "product_id": "python312-numpy-1.26.2-5.1.s390x" } }, { "category": "product_version", "name": "python312-numpy-devel-1.26.2-5.1.s390x", "product": { "name": "python312-numpy-devel-1.26.2-5.1.s390x", "product_id": "python312-numpy-devel-1.26.2-5.1.s390x" } } ], "category": "architecture", "name": "s390x" }, { "branches": [ { "category": "product_version", "name": "python310-numpy-1.26.2-5.1.x86_64", "product": { "name": "python310-numpy-1.26.2-5.1.x86_64", "product_id": "python310-numpy-1.26.2-5.1.x86_64" } }, { "category": "product_version", "name": "python310-numpy-devel-1.26.2-5.1.x86_64", "product": { "name": "python310-numpy-devel-1.26.2-5.1.x86_64", "product_id": "python310-numpy-devel-1.26.2-5.1.x86_64" } }, { "category": "product_version", "name": "python311-numpy-1.26.2-5.1.x86_64", "product": { "name": "python311-numpy-1.26.2-5.1.x86_64", "product_id": "python311-numpy-1.26.2-5.1.x86_64" } }, { "category": "product_version", "name": "python311-numpy-devel-1.26.2-5.1.x86_64", "product": { "name": "python311-numpy-devel-1.26.2-5.1.x86_64", "product_id": "python311-numpy-devel-1.26.2-5.1.x86_64" } }, { "category": "product_version", "name": "python312-numpy-1.26.2-5.1.x86_64", "product": { "name": "python312-numpy-1.26.2-5.1.x86_64", "product_id": "python312-numpy-1.26.2-5.1.x86_64" } }, { "category": "product_version", "name": "python312-numpy-devel-1.26.2-5.1.x86_64", "product": { "name": "python312-numpy-devel-1.26.2-5.1.x86_64", "product_id": "python312-numpy-devel-1.26.2-5.1.x86_64" } } ], "category": "architecture", "name": "x86_64" }, { "branches": [ { "category": "product_name", "name": "openSUSE Tumbleweed", "product": { "name": "openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed", "product_identification_helper": { "cpe": "cpe:/o:opensuse:tumbleweed" } } } ], "category": "product_family", "name": "SUSE Linux Enterprise" } ], "category": "vendor", "name": "SUSE" } ], "relationships": [ { "category": "default_component_of", "full_product_name": { "name": "python310-numpy-1.26.2-5.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.aarch64" }, "product_reference": "python310-numpy-1.26.2-5.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python310-numpy-1.26.2-5.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.ppc64le" }, "product_reference": "python310-numpy-1.26.2-5.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python310-numpy-1.26.2-5.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.s390x" }, "product_reference": "python310-numpy-1.26.2-5.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python310-numpy-1.26.2-5.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.x86_64" }, "product_reference": "python310-numpy-1.26.2-5.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python310-numpy-devel-1.26.2-5.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.aarch64" }, "product_reference": "python310-numpy-devel-1.26.2-5.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python310-numpy-devel-1.26.2-5.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.ppc64le" }, "product_reference": "python310-numpy-devel-1.26.2-5.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python310-numpy-devel-1.26.2-5.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.s390x" }, "product_reference": "python310-numpy-devel-1.26.2-5.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python310-numpy-devel-1.26.2-5.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.x86_64" }, "product_reference": "python310-numpy-devel-1.26.2-5.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy-1.26.2-5.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.aarch64" }, "product_reference": "python311-numpy-1.26.2-5.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy-1.26.2-5.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.ppc64le" }, "product_reference": "python311-numpy-1.26.2-5.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy-1.26.2-5.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.s390x" }, "product_reference": "python311-numpy-1.26.2-5.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy-1.26.2-5.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.x86_64" }, "product_reference": "python311-numpy-1.26.2-5.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy-devel-1.26.2-5.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.aarch64" }, "product_reference": "python311-numpy-devel-1.26.2-5.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy-devel-1.26.2-5.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.ppc64le" }, "product_reference": "python311-numpy-devel-1.26.2-5.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy-devel-1.26.2-5.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.s390x" }, "product_reference": "python311-numpy-devel-1.26.2-5.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python311-numpy-devel-1.26.2-5.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.x86_64" }, "product_reference": "python311-numpy-devel-1.26.2-5.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy-1.26.2-5.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.aarch64" }, "product_reference": "python312-numpy-1.26.2-5.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy-1.26.2-5.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.ppc64le" }, "product_reference": "python312-numpy-1.26.2-5.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy-1.26.2-5.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.s390x" }, "product_reference": "python312-numpy-1.26.2-5.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy-1.26.2-5.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.x86_64" }, "product_reference": "python312-numpy-1.26.2-5.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy-devel-1.26.2-5.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.aarch64" }, "product_reference": "python312-numpy-devel-1.26.2-5.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy-devel-1.26.2-5.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.ppc64le" }, "product_reference": "python312-numpy-devel-1.26.2-5.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy-devel-1.26.2-5.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.s390x" }, "product_reference": "python312-numpy-devel-1.26.2-5.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy-devel-1.26.2-5.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.x86_64" }, "product_reference": "python312-numpy-devel-1.26.2-5.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" } ] }, "vulnerabilities": [ { "cve": "CVE-2017-12852", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2017-12852" } ], "notes": [ { "category": "general", "text": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2017-12852", "url": "https://www.suse.com/security/cve/CVE-2017-12852" }, { "category": "external", "summary": "SUSE Bug 1053963 for CVE-2017-12852", "url": "https://bugzilla.suse.com/1053963" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 6.2, "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0" }, "products": [ "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-06-15T00:00:00Z", "details": "moderate" } ], "title": "CVE-2017-12852" }, { "cve": "CVE-2019-6446", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2019-6446" } ], "notes": [ { "category": "general", "text": "** DISPUTED ** An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2019-6446", "url": "https://www.suse.com/security/cve/CVE-2019-6446" }, { "category": "external", "summary": "SUSE Bug 1122208 for CVE-2019-6446", "url": "https://bugzilla.suse.com/1122208" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 7.8, "baseSeverity": "HIGH", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "version": "3.0" }, "products": [ "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-06-15T00:00:00Z", "details": "important" } ], "title": "CVE-2019-6446" } ] }
suse-su-2022:3954-1
Vulnerability from csaf_suse
Notes
{ "document": { "aggregate_severity": { "namespace": "https://www.suse.com/support/security/rating/", "text": "moderate" }, "category": "csaf_security_advisory", "csaf_version": "2.0", "distribution": { "text": "Copyright 2024 SUSE LLC. All rights reserved.", "tlp": { "label": "WHITE", "url": "https://www.first.org/tlp/" } }, "lang": "en", "notes": [ { "category": "summary", "text": "Security update for python-numpy", "title": "Title of the patch" }, { "category": "description", "text": "This update for python-numpy fixes the following issues:\n\n - CVE-2017-12852: Fixed missing input validation leading to infinite loops (bsc#1053963).\n\n Bugfixes:\n - Use update-alternatives for /usr/bin/f2py (bsc#1199500).\n", "title": "Description of the patch" }, { "category": "details", "text": "SUSE-2022-3954,SUSE-SLE-SDK-12-SP5-2022-3954,SUSE-SLE-SERVER-12-SP5-2022-3954", "title": "Patchnames" }, { "category": "legal_disclaimer", "text": "CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).", "title": "Terms of use" } ], "publisher": { "category": "vendor", "contact_details": "https://www.suse.com/support/security/contact/", "name": "SUSE Product Security Team", "namespace": "https://www.suse.com/" }, "references": [ { "category": "external", "summary": "SUSE ratings", "url": "https://www.suse.com/support/security/rating/" }, { "category": "self", "summary": "URL of this CSAF notice", "url": "https://ftp.suse.com/pub/projects/security/csaf/suse-su-2022_3954-1.json" }, { "category": "self", "summary": "URL for SUSE-SU-2022:3954-1", "url": "https://www.suse.com/support/update/announcement/2022/suse-su-20223954-1/" }, { "category": "self", "summary": "E-Mail link for SUSE-SU-2022:3954-1", "url": "https://lists.suse.com/pipermail/sle-updates/2022-November/026133.html" }, { "category": "self", "summary": "SUSE Bug 1053963", "url": "https://bugzilla.suse.com/1053963" }, { "category": "self", "summary": "SUSE Bug 1199500", "url": "https://bugzilla.suse.com/1199500" }, { "category": "self", "summary": "SUSE CVE CVE-2017-12852 page", "url": "https://www.suse.com/security/cve/CVE-2017-12852/" } ], "title": "Security update for python-numpy", "tracking": { "current_release_date": "2022-11-11T11:03:07Z", "generator": { "date": "2022-11-11T11:03:07Z", "engine": { "name": "cve-database.git:bin/generate-csaf.pl", "version": "1" } }, "id": "SUSE-SU-2022:3954-1", "initial_release_date": "2022-11-11T11:03:07Z", "revision_history": [ { "date": "2022-11-11T11:03:07Z", "number": "1", "summary": "Current version" } ], "status": "final", "version": "1" } }, "product_tree": { "branches": [ { "branches": [ { "branches": [ { "category": "product_version", "name": "python-numpy-1.8.0-5.19.1.aarch64", "product": { "name": "python-numpy-1.8.0-5.19.1.aarch64", "product_id": "python-numpy-1.8.0-5.19.1.aarch64" } }, { "category": "product_version", "name": "python-numpy-devel-1.8.0-5.19.1.aarch64", "product": { "name": "python-numpy-devel-1.8.0-5.19.1.aarch64", "product_id": "python-numpy-devel-1.8.0-5.19.1.aarch64" } } ], "category": "architecture", "name": "aarch64" }, { "branches": [ { "category": "product_version", "name": "python-numpy-1.8.0-5.19.1.i586", "product": { "name": "python-numpy-1.8.0-5.19.1.i586", "product_id": "python-numpy-1.8.0-5.19.1.i586" } }, { "category": "product_version", "name": "python-numpy-devel-1.8.0-5.19.1.i586", "product": { "name": "python-numpy-devel-1.8.0-5.19.1.i586", "product_id": "python-numpy-devel-1.8.0-5.19.1.i586" } } ], "category": "architecture", "name": "i586" }, { "branches": [ { "category": "product_version", "name": "python-numpy-doc-html-1.8.0-5.19.1.noarch", "product": { "name": "python-numpy-doc-html-1.8.0-5.19.1.noarch", "product_id": "python-numpy-doc-html-1.8.0-5.19.1.noarch" } } ], "category": "architecture", "name": "noarch" }, { "branches": [ { "category": "product_version", "name": "python-numpy-1.8.0-5.19.1.ppc64le", "product": { "name": "python-numpy-1.8.0-5.19.1.ppc64le", "product_id": "python-numpy-1.8.0-5.19.1.ppc64le" } }, { "category": "product_version", "name": "python-numpy-devel-1.8.0-5.19.1.ppc64le", "product": { "name": "python-numpy-devel-1.8.0-5.19.1.ppc64le", "product_id": "python-numpy-devel-1.8.0-5.19.1.ppc64le" } } ], "category": "architecture", "name": "ppc64le" }, { "branches": [ { "category": "product_version", "name": "python-numpy-1.8.0-5.19.1.s390", "product": { "name": "python-numpy-1.8.0-5.19.1.s390", "product_id": "python-numpy-1.8.0-5.19.1.s390" } }, { "category": "product_version", "name": "python-numpy-devel-1.8.0-5.19.1.s390", "product": { "name": "python-numpy-devel-1.8.0-5.19.1.s390", "product_id": "python-numpy-devel-1.8.0-5.19.1.s390" } } ], "category": "architecture", "name": "s390" }, { "branches": [ { "category": "product_version", "name": "python-numpy-1.8.0-5.19.1.s390x", "product": { "name": "python-numpy-1.8.0-5.19.1.s390x", "product_id": "python-numpy-1.8.0-5.19.1.s390x" } }, { "category": "product_version", "name": "python-numpy-devel-1.8.0-5.19.1.s390x", "product": { "name": "python-numpy-devel-1.8.0-5.19.1.s390x", "product_id": "python-numpy-devel-1.8.0-5.19.1.s390x" } } ], "category": "architecture", "name": "s390x" }, { "branches": [ { "category": "product_version", "name": "python-numpy-1.8.0-5.19.1.x86_64", "product": { "name": "python-numpy-1.8.0-5.19.1.x86_64", "product_id": "python-numpy-1.8.0-5.19.1.x86_64" } }, { "category": "product_version", "name": "python-numpy-devel-1.8.0-5.19.1.x86_64", "product": { "name": "python-numpy-devel-1.8.0-5.19.1.x86_64", "product_id": "python-numpy-devel-1.8.0-5.19.1.x86_64" } } ], "category": "architecture", "name": "x86_64" }, { "branches": [ { "category": "product_name", "name": "SUSE Linux Enterprise Software Development Kit 12 SP5", "product": { "name": "SUSE Linux Enterprise Software Development Kit 12 SP5", "product_id": "SUSE Linux Enterprise Software Development Kit 12 SP5", "product_identification_helper": { "cpe": "cpe:/o:suse:sle-sdk:12:sp5" } } }, { "category": "product_name", "name": "SUSE Linux Enterprise Server 12 SP5", "product": { "name": "SUSE Linux Enterprise Server 12 SP5", "product_id": "SUSE Linux Enterprise Server 12 SP5", "product_identification_helper": { "cpe": "cpe:/o:suse:sles:12:sp5" } } }, { "category": "product_name", "name": "SUSE Linux Enterprise Server for SAP Applications 12 SP5", "product": { "name": "SUSE Linux Enterprise Server for SAP Applications 12 SP5", "product_id": "SUSE Linux Enterprise Server for SAP Applications 12 SP5", "product_identification_helper": { "cpe": "cpe:/o:suse:sles_sap:12:sp5" } } } ], "category": "product_family", "name": "SUSE Linux Enterprise" } ], "category": "vendor", "name": "SUSE" } ], "relationships": [ { "category": "default_component_of", "full_product_name": { "name": "python-numpy-devel-1.8.0-5.19.1.aarch64 as component of SUSE Linux Enterprise Software Development Kit 12 SP5", "product_id": "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.aarch64" }, "product_reference": "python-numpy-devel-1.8.0-5.19.1.aarch64", "relates_to_product_reference": "SUSE Linux Enterprise Software Development Kit 12 SP5" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy-devel-1.8.0-5.19.1.ppc64le as component of SUSE Linux Enterprise Software Development Kit 12 SP5", "product_id": "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.ppc64le" }, "product_reference": "python-numpy-devel-1.8.0-5.19.1.ppc64le", "relates_to_product_reference": "SUSE Linux Enterprise Software Development Kit 12 SP5" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy-devel-1.8.0-5.19.1.s390x as component of SUSE Linux Enterprise Software Development Kit 12 SP5", "product_id": "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.s390x" }, "product_reference": "python-numpy-devel-1.8.0-5.19.1.s390x", "relates_to_product_reference": "SUSE Linux Enterprise Software Development Kit 12 SP5" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy-devel-1.8.0-5.19.1.x86_64 as component of SUSE Linux Enterprise Software Development Kit 12 SP5", "product_id": "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.x86_64" }, "product_reference": "python-numpy-devel-1.8.0-5.19.1.x86_64", "relates_to_product_reference": "SUSE Linux Enterprise Software Development Kit 12 SP5" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy-1.8.0-5.19.1.aarch64 as component of SUSE Linux Enterprise Server 12 SP5", "product_id": "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.aarch64" }, "product_reference": "python-numpy-1.8.0-5.19.1.aarch64", "relates_to_product_reference": "SUSE Linux Enterprise Server 12 SP5" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy-1.8.0-5.19.1.ppc64le as component of SUSE Linux Enterprise Server 12 SP5", "product_id": "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le" }, "product_reference": "python-numpy-1.8.0-5.19.1.ppc64le", "relates_to_product_reference": "SUSE Linux Enterprise Server 12 SP5" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy-1.8.0-5.19.1.s390x as component of SUSE Linux Enterprise Server 12 SP5", "product_id": "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.s390x" }, "product_reference": "python-numpy-1.8.0-5.19.1.s390x", "relates_to_product_reference": "SUSE Linux Enterprise Server 12 SP5" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy-1.8.0-5.19.1.x86_64 as component of SUSE Linux Enterprise Server 12 SP5", "product_id": "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.x86_64" }, "product_reference": "python-numpy-1.8.0-5.19.1.x86_64", "relates_to_product_reference": "SUSE Linux Enterprise Server 12 SP5" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy-1.8.0-5.19.1.aarch64 as component of SUSE Linux Enterprise Server for SAP Applications 12 SP5", "product_id": "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.aarch64" }, "product_reference": "python-numpy-1.8.0-5.19.1.aarch64", "relates_to_product_reference": "SUSE Linux Enterprise Server for SAP Applications 12 SP5" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy-1.8.0-5.19.1.ppc64le as component of SUSE Linux Enterprise Server for SAP Applications 12 SP5", "product_id": "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le" }, "product_reference": "python-numpy-1.8.0-5.19.1.ppc64le", "relates_to_product_reference": "SUSE Linux Enterprise Server for SAP Applications 12 SP5" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy-1.8.0-5.19.1.s390x as component of SUSE Linux Enterprise Server for SAP Applications 12 SP5", "product_id": "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.s390x" }, "product_reference": "python-numpy-1.8.0-5.19.1.s390x", "relates_to_product_reference": "SUSE Linux Enterprise Server for SAP Applications 12 SP5" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy-1.8.0-5.19.1.x86_64 as component of SUSE Linux Enterprise Server for SAP Applications 12 SP5", "product_id": "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.x86_64" }, "product_reference": "python-numpy-1.8.0-5.19.1.x86_64", "relates_to_product_reference": "SUSE Linux Enterprise Server for SAP Applications 12 SP5" } ] }, "vulnerabilities": [ { "cve": "CVE-2017-12852", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2017-12852" } ], "notes": [ { "category": "general", "text": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.", "title": "CVE description" } ], "product_status": { "recommended": [ "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.x86_64", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.x86_64", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2017-12852", "url": "https://www.suse.com/security/cve/CVE-2017-12852" }, { "category": "external", "summary": "SUSE Bug 1053963 for CVE-2017-12852", "url": "https://bugzilla.suse.com/1053963" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.x86_64", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.x86_64", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 6.2, "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0" }, "products": [ "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.x86_64", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.x86_64", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2022-11-11T11:03:07Z", "details": "moderate" } ], "title": "CVE-2017-12852" } ] }
suse-ru-2017:3010-1
Vulnerability from csaf_suse
Notes
{ "document": { "aggregate_severity": { "namespace": "https://www.suse.com/support/security/rating/", "text": "moderate" }, "category": "csaf_security_advisory", "csaf_version": "2.0", "distribution": { "text": "Copyright 2024 SUSE LLC. All rights reserved.", "tlp": { "label": "WHITE", "url": "https://www.first.org/tlp/" } }, "lang": "en", "notes": [ { "category": "summary", "text": "Initial release of python-numpy for HPC (v1.13.3, gcc)", "title": "Title of the patch" }, { "category": "description", "text": "\n \nThis update introduces the NumPy packages version 1.13.3 built for \nenvironment modules to the HPC (module FATE#321709).\n\nNumPy is a general-purpose array-processing package for Python designed to\nmanipulate large multi-dimensional arrays of arbitrary records.\n\nIt also provides basic facilities for discrete fourier transform,\nbasic linear algebra and random number generation.\n\n", "title": "Description of the patch" }, { "category": "details", "text": "SUSE-SLE-Module-HPC-12-2017-1865", "title": "Patchnames" }, { "category": "legal_disclaimer", "text": "CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).", "title": "Terms of use" } ], "publisher": { "category": "vendor", "contact_details": "https://www.suse.com/support/security/contact/", "name": "SUSE Product Security Team", "namespace": "https://www.suse.com/" }, "references": [ { "category": "external", "summary": "SUSE ratings", "url": "https://www.suse.com/support/security/rating/" }, { "category": "self", "summary": "URL of this CSAF notice", "url": "https://ftp.suse.com/pub/projects/security/csaf/suse-ru-2017_3010-1.json" }, { "category": "self", "summary": "URL for SUSE-RU-2017:3010-1", "url": "https://www.suse.com/support/update/announcement//suse-ru-20173010-1/" }, { "category": "self", "summary": "E-Mail link for SUSE-RU-2017:3010-1", "url": "https://lists.suse.com/pipermail/sle-updates/2017-November/007400.html" }, { "category": "self", "summary": "SUSE Bug 1053963", "url": "https://bugzilla.suse.com/1053963" }, { "category": "self", "summary": "SUSE Bug 1066748", "url": "https://bugzilla.suse.com/1066748" }, { "category": "self", "summary": "SUSE CVE CVE-2017-12852 page", "url": "https://www.suse.com/security/cve/CVE-2017-12852/" } ], "title": "Initial release of python-numpy for HPC (v1.13.3, gcc)", "tracking": { "current_release_date": "2017-11-14T06:28:00Z", "generator": { "date": "2017-11-14T06:28:00Z", "engine": { "name": "cve-database.git:bin/generate-csaf.pl", "version": "1" } }, "id": "SUSE-RU-2017:3010-1", "initial_release_date": "2017-11-14T06:28:00Z", "revision_history": [ { "date": "2017-11-14T06:28:00Z", "number": "1", "summary": "Current version" } ], "status": "final", "version": "1" } }, "product_tree": { "branches": [ { "branches": [ { "branches": [ { "category": "product_version", "name": "python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "product": { "name": "python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "product_id": "python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64" } }, { "category": "product_version", "name": "python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "product": { "name": "python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "product_id": "python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64" } }, { "category": "product_version", "name": "python2-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "product": { "name": "python2-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "product_id": "python2-numpy-gnu-hpc-1.13.3-4.6.1.aarch64" } }, { "category": "product_version", "name": "python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "product": { "name": "python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "product_id": "python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64" } }, { "category": "product_version", "name": "python3-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "product": { "name": "python3-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "product_id": "python3-numpy-gnu-hpc-1.13.3-4.6.1.aarch64" } }, { "category": "product_version", "name": "python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "product": { "name": "python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "product_id": "python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64" } }, { "category": "product_version", "name": "python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "product": { "name": "python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "product_id": "python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64" } }, { "category": "product_version", "name": "python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "product": { "name": "python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "product_id": "python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64" } } ], "category": "architecture", "name": "aarch64" }, { "branches": [ { "category": "product_version", "name": "python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "product": { "name": "python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "product_id": "python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64" } }, { "category": "product_version", "name": "python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "product": { "name": "python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "product_id": "python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64" } }, { "category": "product_version", "name": "python2-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "product": { "name": "python2-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "product_id": "python2-numpy-gnu-hpc-1.13.3-4.6.1.x86_64" } }, { "category": "product_version", "name": "python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "product": { "name": "python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "product_id": "python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64" } }, { "category": "product_version", "name": "python3-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "product": { "name": "python3-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "product_id": "python3-numpy-gnu-hpc-1.13.3-4.6.1.x86_64" } }, { "category": "product_version", "name": "python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "product": { "name": "python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "product_id": "python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64" } }, { "category": "product_version", "name": "python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "product": { "name": "python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "product_id": "python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64" } }, { "category": "product_version", "name": "python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "product": { "name": "python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "product_id": "python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64" } } ], "category": "architecture", "name": "x86_64" }, { "branches": [ { "category": "product_name", "name": "SUSE Linux Enterprise Module for HPC 12", "product": { "name": "SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12", "product_identification_helper": { "cpe": "cpe:/o:suse:sle-module-hpc:12" } } } ], "category": "product_family", "name": "SUSE Linux Enterprise" } ], "category": "vendor", "name": "SUSE" } ], "relationships": [ { "category": "default_component_of", "full_product_name": { "name": "python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64" }, "product_reference": "python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64" }, "product_reference": "python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64" }, "product_reference": "python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64" }, "product_reference": "python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python2-numpy-gnu-hpc-1.13.3-4.6.1.aarch64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-1.13.3-4.6.1.aarch64" }, "product_reference": "python2-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python2-numpy-gnu-hpc-1.13.3-4.6.1.x86_64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-1.13.3-4.6.1.x86_64" }, "product_reference": "python2-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64" }, "product_reference": "python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64" }, "product_reference": "python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python3-numpy-gnu-hpc-1.13.3-4.6.1.aarch64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-1.13.3-4.6.1.aarch64" }, "product_reference": "python3-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python3-numpy-gnu-hpc-1.13.3-4.6.1.x86_64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-1.13.3-4.6.1.x86_64" }, "product_reference": "python3-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64" }, "product_reference": "python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64" }, "product_reference": "python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64" }, "product_reference": "python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64" }, "product_reference": "python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64" }, "product_reference": "python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64" }, "product_reference": "python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" } ] }, "vulnerabilities": [ { "cve": "CVE-2017-12852", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2017-12852" } ], "notes": [ { "category": "general", "text": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.", "title": "CVE description" } ], "product_status": { "recommended": [ "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2017-12852", "url": "https://www.suse.com/security/cve/CVE-2017-12852" }, { "category": "external", "summary": "SUSE Bug 1053963 for CVE-2017-12852", "url": "https://bugzilla.suse.com/1053963" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 6.2, "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0" }, "products": [ "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2017-11-14T06:28:00Z", "details": "moderate" } ], "title": "CVE-2017-12852" } ] }
pysec-2017-1
Vulnerability from pysec
The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.
Name | purl | numpy | pkg:pypi/numpy |
---|
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "numpy", "purl": "pkg:pypi/numpy" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "1.13.3" } ], "type": "ECOSYSTEM" } ], "versions": [ "0.9.6", "0.9.8", "1.0", "1.0.3", "1.0.4", "1.0b1", "1.0b4", "1.0b5", "1.0rc1", "1.0rc2", "1.0rc3", "1.1.1", "1.10.0", "1.10.1", "1.10.2", "1.10.3", "1.10.4", "1.11.0", "1.11.1", "1.11.2", "1.11.3", "1.12.0", "1.12.1", "1.13.0", "1.13.0rc1", "1.13.0rc2", "1.13.1", "1.2.0", "1.2.1", "1.3.0", "1.4.0", "1.4.1", "1.5.0", "1.5.1", "1.6.0", "1.6.1", "1.6.2", "1.7.0", "1.7.1", "1.7.2", "1.8.0", "1.8.1", "1.8.2", "1.9.0", "1.9.1", "1.9.2", "1.9.3" ] } ], "aliases": [ "CVE-2017-12852", "GHSA-frgw-fgh6-9g52" ], "details": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.", "id": "PYSEC-2017-1", "modified": "2021-06-29T22:52:17.919949Z", "published": "2017-08-15T16:29:00Z", "references": [ { "type": "REPORT", "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292" }, { "type": "WEB", "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852" }, { "type": "ADVISORY", "url": "https://github.com/advisories/GHSA-frgw-fgh6-9g52" } ] }
gsd-2017-12852
Vulnerability from gsd
{ "GSD": { "alias": "CVE-2017-12852", "description": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.", "id": "GSD-2017-12852", "references": [ "https://www.suse.com/security/cve/CVE-2017-12852.html" ] }, "gsd": { "metadata": { "exploitCode": "unknown", "remediation": "unknown", "reportConfidence": "confirmed", "type": "vulnerability" }, "osvSchema": { "aliases": [ "CVE-2017-12852" ], "details": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.", "id": "GSD-2017-12852", "modified": "2023-12-13T01:21:04.042974Z", "schema_version": "1.4.0" } }, "namespaces": { "cve.org": { "CVE_data_meta": { "ASSIGNER": "cve@mitre.org", "ID": "CVE-2017-12852", "STATE": "PUBLIC" }, "affects": { "vendor": { "vendor_data": [ { "product": { "product_data": [ { "product_name": "n/a", "version": { "version_data": [ { "version_value": "n/a" } ] } } ] }, "vendor_name": "n/a" } ] } }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "eng", "value": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack." } ] }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "eng", "value": "n/a" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852", "refsource": "MISC", "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852" }, { "name": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292", "refsource": "CONFIRM", "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292" } ] } }, "gitlab.com": { "advisories": [ { "affected_range": "\u003c=1.13.1", "affected_versions": "All versions up to 1.13.1", "cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:P", "cvss_v3": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-835", "CWE-937" ], "date": "2019-10-03", "description": "The `numpy.pad` function in Numpy versions is missing input validation. An empty list or array will stick into an infinite loop, which can allow attackers to cause a DoS attack.", "fixed_versions": [ "1.13.3" ], "identifier": "CVE-2017-12852", "identifiers": [ "CVE-2017-12852" ], "not_impacted": "All versions after 1.13.1", "package_slug": "pypi/numpy", "pubdate": "2017-08-15", "solution": "Upgrade to version 1.13.3 or above.", "title": "Loop with Unreachable Exit Condition (Infinite Loop)", "urls": [ "https://nvd.nist.gov/vuln/detail/CVE-2017-12852" ], "uuid": "f125b90e-8699-4c05-b0f7-b170a52547a5" } ] }, "nvd.nist.gov": { "configurations": { "CVE_data_version": "4.0", "nodes": [ { "children": [], "cpe_match": [ { "cpe23Uri": "cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndIncluding": "1.13.1", "vulnerable": true } ], "operator": "OR" } ] }, "cve": { "CVE_data_meta": { "ASSIGNER": "cve@mitre.org", "ID": "CVE-2017-12852" }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "en", "value": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack." } ] }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "en", "value": "CWE-835" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292", "refsource": "CONFIRM", "tags": [ "Exploit", "Third Party Advisory" ], "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292" }, { "name": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852", "refsource": "MISC", "tags": [], "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852" } ] } }, "impact": { "baseMetricV2": { "acInsufInfo": true, "cvssV2": { "accessComplexity": "LOW", "accessVector": "NETWORK", "authentication": "NONE", "availabilityImpact": "PARTIAL", "baseScore": 5.0, "confidentialityImpact": "NONE", "integrityImpact": "NONE", "vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P", "version": "2.0" }, "exploitabilityScore": 10.0, "impactScore": 2.9, "obtainAllPrivilege": false, "obtainOtherPrivilege": false, "obtainUserPrivilege": false, "severity": "MEDIUM", "userInteractionRequired": false }, "baseMetricV3": { "cvssV3": { "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 7.5, "baseSeverity": "HIGH", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0" }, "exploitabilityScore": 3.9, "impactScore": 3.6 } }, "lastModifiedDate": "2019-10-03T00:03Z", "publishedDate": "2017-08-15T16:29Z" } } }
cnvd-2017-28629
Vulnerability from cnvd
Title: Numpy 'numpy.pad'函数拒绝服务漏洞
Description:
NumPy是NumPy贡献者开发的一个Python科学计算包,它包含了一个强大的N维数组对象,有用的线性代数、傅立叶转换和随机数生成函数等功能。
Numpy 1.13.1及之前的版本中的'numpy.pad'函数存在安全漏洞,该漏洞源于程序缺少输入验证。攻击者可利用该漏洞造成拒绝服务(无限循环)。
Severity: 中
Formal description:
厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://pypi.python.org/pypi/numpy
Reference: https://github.com/numpy/numpy/issues/9560#issuecomment-322395292
Name | NumPy NumPy <=1.13.1 |
---|
{ "cves": { "cve": { "cveNumber": "CVE-2017-12852" } }, "description": "NumPy\u662fNumPy\u8d21\u732e\u8005\u5f00\u53d1\u7684\u4e00\u4e2aPython\u79d1\u5b66\u8ba1\u7b97\u5305\uff0c\u5b83\u5305\u542b\u4e86\u4e00\u4e2a\u5f3a\u5927\u7684N\u7ef4\u6570\u7ec4\u5bf9\u8c61\uff0c\u6709\u7528\u7684\u7ebf\u6027\u4ee3\u6570\u3001\u5085\u7acb\u53f6\u8f6c\u6362\u548c\u968f\u673a\u6570\u751f\u6210\u51fd\u6570\u7b49\u529f\u80fd\u3002\r\n\r\nNumpy 1.13.1\u53ca\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684\u0027numpy.pad\u0027\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u7f3a\u5c11\u8f93\u5165\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u65e0\u9650\u5faa\u73af\uff09\u3002", "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://pypi.python.org/pypi/numpy", "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e", "number": "CNVD-2017-28629", "openTime": "2017-09-28", "products": { "product": "NumPy NumPy \u003c=1.13.1" }, "referenceLink": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292", "serverity": "\u4e2d", "submitTime": "2017-08-16", "title": "Numpy \u0027numpy.pad\u0027\u51fd\u6570\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e" }
fkie_cve-2017-12852
Vulnerability from fkie_nvd
{ "configurations": [ { "nodes": [ { "cpeMatch": [ { "criteria": "cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:*", "matchCriteriaId": "516F3D03-E951-43EA-A475-CB22E2833667", "versionEndIncluding": "1.13.1", "vulnerable": true } ], "negate": false, "operator": "OR" } ] } ], "cveTags": [], "descriptions": [ { "lang": "en", "value": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack." }, { "lang": "es", "value": "La funci\u00f3n numpy.pad en Numpy 1.13.1 y versiones anteriores no cuenta con validaci\u00f3n de entrada. Una lista vac\u00eda o ndarray entrar\u00e1 en un bucle infinito, lo que puede propiciar que los atacantes provoquen un ataque DoS." } ], "id": "CVE-2017-12852", "lastModified": "2025-04-20T01:37:25.860", "metrics": { "cvssMetricV2": [ { "acInsufInfo": true, "baseSeverity": "MEDIUM", "cvssData": { "accessComplexity": "LOW", "accessVector": "NETWORK", "authentication": "NONE", "availabilityImpact": "PARTIAL", "baseScore": 5.0, "confidentialityImpact": "NONE", "integrityImpact": "NONE", "vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P", "version": "2.0" }, "exploitabilityScore": 10.0, "impactScore": 2.9, "obtainAllPrivilege": false, "obtainOtherPrivilege": false, "obtainUserPrivilege": false, "source": "nvd@nist.gov", "type": "Primary", "userInteractionRequired": false } ], "cvssMetricV30": [ { "cvssData": { "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 7.5, "baseSeverity": "HIGH", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0" }, "exploitabilityScore": 3.9, "impactScore": 3.6, "source": "nvd@nist.gov", "type": "Primary" } ] }, "published": "2017-08-15T16:29:00.200", "references": [ { "source": "cve@mitre.org", "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852" }, { "source": "cve@mitre.org", "tags": [ "Exploit", "Third Party Advisory" ], "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292" }, { "source": "af854a3a-2127-422b-91ae-364da2661108", "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852" }, { "source": "af854a3a-2127-422b-91ae-364da2661108", "tags": [ "Exploit", "Third Party Advisory" ], "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292" } ], "sourceIdentifier": "cve@mitre.org", "vulnStatus": "Deferred", "weaknesses": [ { "description": [ { "lang": "en", "value": "CWE-835" } ], "source": "nvd@nist.gov", "type": "Primary" } ] }
ghsa-frgw-fgh6-9g52
Vulnerability from github
The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "numpy" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "1.13.3" } ], "type": "ECOSYSTEM" } ] } ], "aliases": [ "CVE-2017-12852" ], "database_specific": { "cwe_ids": [ "CWE-835" ], "github_reviewed": true, "github_reviewed_at": "2022-06-17T21:05:33Z", "nvd_published_at": "2017-08-15T16:29:00Z", "severity": "HIGH" }, "details": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.", "id": "GHSA-frgw-fgh6-9g52", "modified": "2022-06-17T21:05:33Z", "published": "2022-05-13T01:42:46Z", "references": [ { "type": "ADVISORY", "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-12852" }, { "type": "WEB", "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292" }, { "type": "WEB", "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852" }, { "type": "ADVISORY", "url": "https://github.com/advisories/GHSA-frgw-fgh6-9g52" }, { "type": "PACKAGE", "url": "https://github.com/numpy/numpy" }, { "type": "WEB", "url": "https://github.com/numpy/numpy/releases/tag/v1.13.3" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/numpy/PYSEC-2017-1.yaml" } ], "schema_version": "1.4.0", "severity": [ { "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "type": "CVSS_V3" } ], "summary": "Numpy missing input validation" }
Sightings
Author | Source | Type | Date |
---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.