fkie_cve-2021-41216
Vulnerability from fkie_nvd
Published
2021-11-05 23:15
Modified
2024-11-21 06:25
Severity ?
5.5 (Medium) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Summary
TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. 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.
References
Impacted products
Vendor | Product | Version | |
---|---|---|---|
tensorflow | * | ||
tensorflow | * | ||
tensorflow | * | ||
tensorflow | 2.7.0 | ||
tensorflow | 2.7.0 |
{ "configurations": [ { "nodes": [ { "cpeMatch": [ { "criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "matchCriteriaId": "0E596567-6F67-4880-8EC4-CB262BF02E0D", "versionEndExcluding": "2.4.4", "versionStartIncluding": "2.4.0", "vulnerable": true }, { "criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "matchCriteriaId": "035CDF63-1548-4FB4-B8A9-B8D328FAF910", "versionEndExcluding": "2.5.2", "versionStartIncluding": "2.5.0", "vulnerable": true }, { "criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "matchCriteriaId": "5D68D8D1-DB27-4395-9D3D-2BED901B852C", "versionEndExcluding": "2.6.1", "versionStartIncluding": "2.6.0", "vulnerable": true }, { "criteria": "cpe:2.3:a:google:tensorflow:2.7.0:rc0:*:*:*:*:*:*", "matchCriteriaId": "A58EDA5C-66D6-46F1-962E-60AFB7C784A7", "vulnerable": true }, { "criteria": "cpe:2.3:a:google:tensorflow:2.7.0:rc1:*:*:*:*:*:*", "matchCriteriaId": "89522760-C2DF-400D-9624-626D8F160CBA", "vulnerable": true } ], "negate": false, "operator": "OR" } ] } ], "cveTags": [], "descriptions": [ { "lang": "en", "value": "TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. 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." }, { "lang": "es", "value": "TensorFlow es una plataforma de c\u00f3digo abierto para el aprendizaje autom\u00e1tico. En las versiones afectadas, la funci\u00f3n de inferencia de formas para \"Transpose\" es vulnerable a un desbordamiento del b\u00fafer de la pila. Esto ocurre cuando \"perm\" contiene elementos negativos. La funci\u00f3n de inferencia de formas no comprueba que los \u00edndices de \"perm\" sean todos v\u00e1lidos. La correcci\u00f3n ser\u00e1 incluida en TensorFlow versi\u00f3n 2.7.0. Tambi\u00e9n ser\u00e1 incluida este commit en TensorFlow versi\u00f3n 2.6.1, TensorFlow versi\u00f3n 2.5.2, y TensorFlow versi\u00f3n 2.4.4, ya que estos tambi\u00e9n est\u00e1n afectados y todav\u00eda est\u00e1n en el rango admitido" } ], "id": "CVE-2021-41216", "lastModified": "2024-11-21T06:25:48.050", "metrics": { "cvssMetricV2": [ { "acInsufInfo": false, "baseSeverity": "MEDIUM", "cvssData": { "accessComplexity": "LOW", "accessVector": "LOCAL", "authentication": "NONE", "availabilityImpact": "PARTIAL", "baseScore": 4.6, "confidentialityImpact": "PARTIAL", "integrityImpact": "PARTIAL", "vectorString": "AV:L/AC:L/Au:N/C:P/I:P/A:P", "version": "2.0" }, "exploitabilityScore": 3.9, "impactScore": 6.4, "obtainAllPrivilege": false, "obtainOtherPrivilege": false, "obtainUserPrivilege": false, "source": "nvd@nist.gov", "type": "Primary", "userInteractionRequired": false } ], "cvssMetricV31": [ { "cvssData": { "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, "source": "security-advisories@github.com", "type": "Secondary" }, { "cvssData": { "attackComplexity": "LOW", "attackVector": "LOCAL", "availabilityImpact": "HIGH", "baseScore": 7.8, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H", "version": "3.1" }, "exploitabilityScore": 1.8, "impactScore": 5.9, "source": "nvd@nist.gov", "type": "Primary" } ] }, "published": "2021-11-05T23:15:08.287", "references": [ { "source": "security-advisories@github.com", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79e521eb14" }, { "source": "security-advisories@github.com", "tags": [ "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9" }, { "source": "af854a3a-2127-422b-91ae-364da2661108", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79e521eb14" }, { "source": "af854a3a-2127-422b-91ae-364da2661108", "tags": [ "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9" } ], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Modified", "weaknesses": [ { "description": [ { "lang": "en", "value": "CWE-120" } ], "source": "security-advisories@github.com", "type": "Secondary" }, { "description": [ { "lang": "en", "value": "CWE-787" } ], "source": "nvd@nist.gov", "type": "Primary" } ] }
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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.
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