gsd-2021-41222
Vulnerability from gsd
Modified
2023-12-13 01:23
Details
TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SplitV` can trigger a segfault is an attacker supplies negative arguments. This occurs whenever `size_splits` contains more than one value and at least one value is negative. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Aliases
Aliases
{ "GSD": { "alias": "CVE-2021-41222", "description": "TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SplitV` can trigger a segfault is an attacker supplies negative arguments. This occurs whenever `size_splits` contains more than one value and at least one value is negative. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.", "id": "GSD-2021-41222", "references": [ "https://www.suse.com/security/cve/CVE-2021-41222.html", "https://security.archlinux.org/CVE-2021-41222" ] }, "gsd": { "metadata": { "exploitCode": "unknown", "remediation": "unknown", "reportConfidence": "confirmed", "type": "vulnerability" }, "osvSchema": { "aliases": [ "CVE-2021-41222" ], "details": "TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SplitV` can trigger a segfault is an attacker supplies negative arguments. This occurs whenever `size_splits` contains more than one value and at least one value is negative. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.", "id": "GSD-2021-41222", "modified": "2023-12-13T01:23:27.362369Z", "schema_version": "1.4.0" } }, "namespaces": { "cve.org": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2021-41222", "STATE": "PUBLIC", "TITLE": "Segfault due to negative splits in `SplitV`" }, "affects": { "vendor": { "vendor_data": [ { "product": { "product_data": [ { "product_name": "tensorflow", "version": { "version_data": [ { "version_value": "\u003e= 2.6.0, \u003c 2.6.1" }, { "version_value": "\u003e= 2.5.0, \u003c 2.5.2" }, { "version_value": "\u003c 2.4.4" } ] } } ] }, "vendor_name": "tensorflow" } ] } }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "eng", "value": "TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SplitV` can trigger a segfault is an attacker supplies negative arguments. This occurs whenever `size_splits` contains more than one value and at least one value is negative. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range." } ] }, "impact": { "cvss": { "attackComplexity": "LOW", "attackVector": "LOCAL", "availabilityImpact": "HIGH", "baseScore": 5.5, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "version": "3.1" } }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "eng", "value": "CWE-682: Incorrect Calculation" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cpf4-wx82-gxp6", "refsource": "CONFIRM", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cpf4-wx82-gxp6" }, { "name": "https://github.com/tensorflow/tensorflow/commit/25d622ffc432acc736b14ca3904177579e733cc6", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/commit/25d622ffc432acc736b14ca3904177579e733cc6" } ] }, "source": { "advisory": "GHSA-cpf4-wx82-gxp6", "discovery": "UNKNOWN" } }, "gitlab.com": { "advisories": [ { "affected_range": "\u003e=2.6.0,\u003c2.6.1||\u003e=2.5.0,\u003c2.5.2||\u003c2.4.4", "affected_versions": "All versions starting from 2.6.0 before 2.6.1, all versions starting from 2.5.0 before 2.5.2, all versions before 2.4.4", "cvss_v2": "AV:L/AC:L/Au:N/C:N/I:N/A:P", "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-937" ], "date": "2021-11-10", "description": "TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SplitV` can trigger a segfault is an attacker supplies negative arguments. This occurs whenever `size_splits` contains more than one value and at least one value is negative. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.", "fixed_versions": [ "2.6.1", "2.4.4", "2.4.4" ], "identifier": "CVE-2021-41222", "identifiers": [ "GHSA-cpf4-wx82-gxp6", "CVE-2021-41222" ], "not_impacted": "All versions before 2.6.0, all versions starting from 2.6.1, all versions before 2.5.0, all versions starting from 2.4.4 before 2.5.2", "package_slug": "pypi/tensorflow-cpu", "pubdate": "2021-11-10", "solution": "Upgrade to versions 2.6.1, 2.4.4, 2.4.4 or above.", "title": "Segfault due to negative splits in `SplitV`", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cpf4-wx82-gxp6", "https://nvd.nist.gov/vuln/detail/CVE-2021-41222", "https://github.com/tensorflow/tensorflow/commit/25d622ffc432acc736b14ca3904177579e733cc6", "https://github.com/advisories/GHSA-cpf4-wx82-gxp6" ], "uuid": "cf586067-de33-479f-b76b-ab4a2121fb04" }, { "affected_range": "\u003e=2.6.0,\u003c2.6.1||\u003e=2.5.0,\u003c2.5.2||\u003c2.4.4", "affected_versions": "All versions starting from 2.6.0 before 2.6.1, all versions starting from 2.5.0 before 2.5.2, all versions before 2.4.4", "cvss_v2": "AV:L/AC:L/Au:N/C:N/I:N/A:P", "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-937" ], "date": "2021-11-10", "description": "TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SplitV` can trigger a segfault is an attacker supplies negative arguments. This occurs whenever `size_splits` contains more than one value and at least one value is negative. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.", "fixed_versions": [ "2.6.1", "2.4.4", "2.4.4" ], "identifier": "CVE-2021-41222", "identifiers": [ "GHSA-cpf4-wx82-gxp6", "CVE-2021-41222" ], "not_impacted": "All versions before 2.6.0, all versions starting from 2.6.1, all versions before 2.5.0, all versions starting from 2.4.4 before 2.5.2", "package_slug": "pypi/tensorflow-gpu", "pubdate": "2021-11-10", "solution": "Upgrade to versions 2.6.1, 2.4.4, 2.4.4 or above.", "title": "Segfault due to negative splits in `SplitV`", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cpf4-wx82-gxp6", "https://nvd.nist.gov/vuln/detail/CVE-2021-41222", "https://github.com/tensorflow/tensorflow/commit/25d622ffc432acc736b14ca3904177579e733cc6", "https://github.com/advisories/GHSA-cpf4-wx82-gxp6" ], "uuid": "e37c8bb8-9024-4a13-810f-51b3e3814979" }, { "affected_range": "\u003e=2.4.0,\u003c2.4.4||\u003e=2.5.0,\u003c2.5.2||\u003e=2.6.0,\u003c2.6.1||==2.7.0", "affected_versions": "All versions starting from 2.4.0 before 2.4.4, all versions starting from 2.5.0 before 2.5.2, all versions starting from 2.6.0 before 2.6.1, version 2.7.0", "cvss_v2": "AV:L/AC:L/Au:N/C:N/I:N/A:P", "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-937" ], "date": "2021-11-10", "description": "TensorFlow is an open source platform for machine learning.This occurs whenever `size_splits` contains more than one value and at least one value is negative.", "fixed_versions": [ "2.4.4", "2.5.2", "2.6.1" ], "identifier": "CVE-2021-41222", "identifiers": [ "CVE-2021-41222", "GHSA-cpf4-wx82-gxp6" ], "not_impacted": "All versions before 2.4.0, all versions starting from 2.4.4 before 2.5.0, all versions starting from 2.5.2 before 2.6.0, all versions starting from 2.6.1 before 2.7.0, all versions after 2.7.0", "package_slug": "pypi/tensorflow", "pubdate": "2021-11-05", "solution": "Upgrade to versions 2.4.4, 2.5.2, 2.6.1 or above.", "title": "Improper Restriction of Operations within the Bounds of a Memory Buffer", "urls": [ "https://nvd.nist.gov/vuln/detail/CVE-2021-41222", "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cpf4-wx82-gxp6", "https://github.com/tensorflow/tensorflow/commit/25d622ffc432acc736b14ca3904177579e733cc6" ], "uuid": "4126df98-e6a8-471f-8f0c-7c5e0cbf88c0" } ] }, "nvd.nist.gov": { "configurations": { "CVE_data_version": "4.0", "nodes": [ { "children": [], "cpe_match": [ { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndExcluding": "2.4.4", "versionStartIncluding": "2.4.0", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndExcluding": "2.5.2", "versionStartIncluding": "2.5.0", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndExcluding": "2.6.1", "versionStartIncluding": "2.6.0", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.7.0:rc0:*:*:*:*:*:*", "cpe_name": [], "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.7.0:rc1:*:*:*:*:*:*", "cpe_name": [], "vulnerable": true } ], "operator": "OR" } ] }, "cve": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2021-41222" }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "en", "value": "TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SplitV` can trigger a segfault is an attacker supplies negative arguments. This occurs whenever `size_splits` contains more than one value and at least one value is negative. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range." } ] }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "en", "value": "NVD-CWE-noinfo" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cpf4-wx82-gxp6", "refsource": "CONFIRM", "tags": [ "Exploit", "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cpf4-wx82-gxp6" }, { "name": "https://github.com/tensorflow/tensorflow/commit/25d622ffc432acc736b14ca3904177579e733cc6", "refsource": "MISC", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/commit/25d622ffc432acc736b14ca3904177579e733cc6" } ] } }, "impact": { "baseMetricV2": { "acInsufInfo": false, "cvssV2": { "accessComplexity": "LOW", "accessVector": "LOCAL", "authentication": "NONE", "availabilityImpact": "PARTIAL", "baseScore": 2.1, "confidentialityImpact": "NONE", "integrityImpact": "NONE", "vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:P", "version": "2.0" }, "exploitabilityScore": 3.9, "impactScore": 2.9, "obtainAllPrivilege": false, "obtainOtherPrivilege": false, "obtainUserPrivilege": false, "severity": "LOW", "userInteractionRequired": false }, "baseMetricV3": { "cvssV3": { "attackComplexity": "LOW", "attackVector": "LOCAL", "availabilityImpact": "HIGH", "baseScore": 5.5, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "version": "3.1" }, "exploitabilityScore": 1.8, "impactScore": 3.6 } }, "lastModifiedDate": "2021-11-10T16:07Z", "publishedDate": "2021-11-05T23:15Z" } } }
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Sightings
Author | Source | Type | Date |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
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- 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.