gsd-2020-15203
Vulnerability from gsd
Modified
2023-12-13 01:21
Details
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Aliases
Aliases
{ "GSD": { "alias": "CVE-2020-15203", "description": "In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.", "id": "GSD-2020-15203", "references": [ "https://www.suse.com/security/cve/CVE-2020-15203.html" ] }, "gsd": { "metadata": { "exploitCode": "unknown", "remediation": "unknown", "reportConfidence": "confirmed", "type": "vulnerability" }, "osvSchema": { "aliases": [ "CVE-2020-15203" ], "details": "In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.", "id": "GSD-2020-15203", "modified": "2023-12-13T01:21:43.757311Z", "schema_version": "1.4.0" } }, "namespaces": { "cve.org": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2020-15203", "STATE": "PUBLIC", "TITLE": "Denial of Service in Tensorflow" }, "affects": { "vendor": { "vendor_data": [ { "product": { "product_data": [ { "product_name": "tensorflow", "version": { "version_data": [ { "version_value": "\u003c 1.15.4" }, { "version_value": "\u003e= 2.0.0, \u003c 2.0.3" }, { "version_value": "\u003e= 2.1.0, \u003c 2.1.2" }, { "version_value": "\u003e= 2.2.0, \u003c 2.2.1" }, { "version_value": "\u003e= 2.3.0, \u003c 2.3.1" } ] } } ] }, "vendor_name": "tensorflow" } ] } }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "eng", "value": "In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1." } ] }, "impact": { "cvss": { "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 7.5, "baseSeverity": "HIGH", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.1" } }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "eng", "value": "{\"CWE-20\":\"Improper Input Validation\"}" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1" }, { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xmq7-7fxm-rr79", "refsource": "CONFIRM", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xmq7-7fxm-rr79" }, { "name": "https://github.com/tensorflow/tensorflow/commit/33be22c65d86256e6826666662e40dbdfe70ee83", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/commit/33be22c65d86256e6826666662e40dbdfe70ee83" }, { "name": "openSUSE-SU-2020:1766", "refsource": "SUSE", "url": "http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html" } ] }, "source": { "advisory": "GHSA-xmq7-7fxm-rr79", "discovery": "UNKNOWN" } }, "gitlab.com": { "advisories": [ { "affected_range": "\u003c1.15.4||\u003e=2.0.0,\u003c2.0.3||\u003e=2.1.0,\u003c2.1.2||\u003e=2.2.0,\u003c2.2.1||\u003e=2.3.0,\u003c2.3.1", "affected_versions": "All versions before 1.15.4, all versions starting from 2.0.0 before 2.0.3, all versions starting from 2.1.0 before 2.1.2, all versions starting from 2.2.0 before 2.2.1, all versions starting from 2.3.0 before 2.3.1", "cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:P", "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-20", "CWE-937" ], "date": "2020-10-29", "description": "In Tensorflow, by controlling the `fill` argument of `tf.strings.as_string`, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault.", "fixed_versions": [ "2.1.2", "2.2.1", "2.3.1" ], "identifier": "CVE-2020-15203", "identifiers": [ "CVE-2020-15203", "GHSA-xmq7-7fxm-rr79" ], "not_impacted": "All versions starting from 1.15.4 before 2.0.0, all versions starting from 2.0.3 before 2.1.0, all versions starting from 2.1.2 before 2.2.0, all versions starting from 2.2.1 before 2.3.0, all versions starting from 2.3.1", "package_slug": "pypi/tensorflow-cpu", "pubdate": "2020-09-25", "solution": "Upgrade to versions 2.1.2, 2.2.1, 2.3.1 or above.", "title": "Improper Input Validation", "urls": [ "https://nvd.nist.gov/vuln/detail/CVE-2020-15203" ], "uuid": "da68f6a2-4b1c-47ea-9b8f-f1e9bb0ba1fd" }, { "affected_range": "\u003c1.15.4||\u003e=2.0.0,\u003c2.0.3||\u003e=2.1.0,\u003c2.1.2||\u003e=2.2.0,\u003c2.2.1||\u003e=2.3.0,\u003c2.3.1", "affected_versions": "All versions before 1.15.4, all versions starting from 2.0.0 before 2.0.3, all versions starting from 2.1.0 before 2.1.2, all versions starting from 2.2.0 before 2.2.1, all versions starting from 2.3.0 before 2.3.1", "cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:P", "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-20", "CWE-937" ], "date": "2020-10-29", "description": "In Tensorflow, by controlling the `fill` argument of `tf.strings.as_string`, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault.", "fixed_versions": [ "1.15.4", "2.0.3", "2.1.2", "2.2.1", "2.3.1" ], "identifier": "CVE-2020-15203", "identifiers": [ "CVE-2020-15203", "GHSA-xmq7-7fxm-rr79" ], "not_impacted": "All versions starting from 1.15.4 before 2.0.0, all versions starting from 2.0.3 before 2.1.0, all versions starting from 2.1.2 before 2.2.0, all versions starting from 2.2.1 before 2.3.0, all versions starting from 2.3.1", "package_slug": "pypi/tensorflow-gpu", "pubdate": "2020-09-25", "solution": "Upgrade to versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 or above.", "title": "Improper Input Validation", "urls": [ "https://nvd.nist.gov/vuln/detail/CVE-2020-15203" ], "uuid": "480747fd-d5a7-44f0-80d2-37335cbe06a8" }, { "affected_range": "\u003c1.15.4||\u003e=2.0.0,\u003c2.0.3||\u003e=2.1.0,\u003c2.1.2||\u003e=2.2.0,\u003c2.2.1||\u003e=2.3.0,\u003c2.3.1", "affected_versions": "All versions before 1.15.4, all versions starting from 2.0.0 before 2.0.3, all versions starting from 2.1.0 before 2.1.2, all versions starting from 2.2.0 before 2.2.1, all versions starting from 2.3.0 before 2.3.1", "cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:P", "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-134", "CWE-937" ], "date": "2021-11-18", "description": "In Tensorflow, by controlling the `fill` argument of `tf.strings.as_string`, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault.", "fixed_versions": [ "1.15.4", "2.0.3", "2.1.2", "2.2.1", "2.3.1" ], "identifier": "CVE-2020-15203", "identifiers": [ "CVE-2020-15203", "GHSA-xmq7-7fxm-rr79" ], "not_impacted": "All versions starting from 1.15.4 before 2.0.0, all versions starting from 2.0.3 before 2.1.0, all versions starting from 2.1.2 before 2.2.0, all versions starting from 2.2.1 before 2.3.0, all versions starting from 2.3.1", "package_slug": "pypi/tensorflow", "pubdate": "2020-09-25", "solution": "Upgrade to versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 or above.", "title": "Improper Input Validation", "urls": [ "https://nvd.nist.gov/vuln/detail/CVE-2020-15203" ], "uuid": "73924ca7-f598-4948-9f2a-c20aa1f9e7a2" } ] }, "nvd.nist.gov": { "configurations": { "CVE_data_version": "4.0", "nodes": [ { "children": [], "cpe_match": [ { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*", "cpe_name": [], "versionEndExcluding": "1.15.4", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*", "cpe_name": [], "versionEndExcluding": "2.0.3", "versionStartIncluding": "2.0.0", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*", "cpe_name": [], "versionEndExcluding": "2.1.2", "versionStartIncluding": "2.1.0", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*", "cpe_name": [], "versionEndExcluding": "2.2.1", "versionStartIncluding": "2.2.0", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*", "cpe_name": [], "versionEndExcluding": "2.3.1", "versionStartIncluding": "2.3.0", "vulnerable": true } ], "operator": "OR" }, { "children": [], "cpe_match": [ { "cpe23Uri": "cpe:2.3:o:opensuse:leap:15.2:*:*:*:*:*:*:*", "cpe_name": [], "vulnerable": true } ], "operator": "OR" } ] }, "cve": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2020-15203" }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "en", "value": "In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1." } ] }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "en", "value": "CWE-134" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/commit/33be22c65d86256e6826666662e40dbdfe70ee83", "refsource": "MISC", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/commit/33be22c65d86256e6826666662e40dbdfe70ee83" }, { "name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1", "refsource": "MISC", "tags": [ "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1" }, { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xmq7-7fxm-rr79", "refsource": "CONFIRM", "tags": [ "Exploit", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xmq7-7fxm-rr79" }, { "name": "openSUSE-SU-2020:1766", "refsource": "SUSE", "tags": [ "Mailing List", "Third Party Advisory" ], "url": "http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html" } ] } }, "impact": { "baseMetricV2": { "acInsufInfo": false, "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:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.1" }, "exploitabilityScore": 3.9, "impactScore": 3.6 } }, "lastModifiedDate": "2021-11-18T17:26Z", "publishedDate": "2020-09-25T19:15Z" } } }
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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.
- 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.