fkie_cve-2020-15198
Vulnerability from fkie_nvd
Published
2020-09-25 19:15
Modified
2024-11-21 05:05
Severity ?
5.4 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N
5.4 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N
5.4 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N
Summary
In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
References
▶ | URL | Tags | |
---|---|---|---|
security-advisories@github.com | https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02 | Patch, Third Party Advisory | |
security-advisories@github.com | https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 | Third Party Advisory | |
security-advisories@github.com | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3 | Exploit, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02 | Patch, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 | Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3 | Exploit, Third Party Advisory |
Impacted products
Vendor | Product | Version | |
---|---|---|---|
tensorflow | * |
{ "configurations": [ { "nodes": [ { "cpeMatch": [ { "criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*", "matchCriteriaId": "B617650A-B5A1-44BB-BB3A-2EF83648B100", "versionEndExcluding": "2.3.1", "versionStartIncluding": "2.3.0", "vulnerable": true } ], "negate": false, "operator": "OR" } ] } ], "cveTags": [], "descriptions": [ { "lang": "en", "value": "In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1." }, { "lang": "es", "value": "En Tensorflow anteriores a la versi\u00f3n 2.3.1, la implementaci\u00f3n de \"SparseCountSparseOutput\" no comprueba que los argumentos de entrada formen un tensor disperso v\u00e1lido.\u0026#xa0;En particular, no existe comprobaci\u00f3n de que el tensor \"indices\" tenga la misma forma que el \"values\".\u0026#xa0;Los valores de estos tensores siempre se acceden en paralelo.\u0026#xa0;Por lo tanto, una discrepancia de forma puede resultar en accesos fuera de l\u00edmites de los b\u00faferes asignados de la pila.\u0026#xa0;El problema es parcheado en el commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 y es publicado en TensorFlow versi\u00f3n 2.3.1" } ], "id": "CVE-2020-15198", "lastModified": "2024-11-21T05:05:03.877", "metrics": { "cvssMetricV2": [ { "acInsufInfo": false, "baseSeverity": "MEDIUM", "cvssData": { "accessComplexity": "MEDIUM", "accessVector": "NETWORK", "authentication": "NONE", "availabilityImpact": "NONE", "baseScore": 5.8, "confidentialityImpact": "PARTIAL", "integrityImpact": "PARTIAL", "vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:N", "version": "2.0" }, "exploitabilityScore": 8.6, "impactScore": 4.9, "obtainAllPrivilege": false, "obtainOtherPrivilege": false, "obtainUserPrivilege": false, "source": "nvd@nist.gov", "type": "Primary", "userInteractionRequired": false } ], "cvssMetricV31": [ { "cvssData": { "attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 5.4, "baseSeverity": "MEDIUM", "confidentialityImpact": "LOW", "integrityImpact": "LOW", "privilegesRequired": "NONE", "scope": "CHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N", "version": "3.1" }, "exploitabilityScore": 2.2, "impactScore": 2.7, "source": "security-advisories@github.com", "type": "Secondary" }, { "cvssData": { "attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 5.4, "baseSeverity": "MEDIUM", "confidentialityImpact": "LOW", "integrityImpact": "LOW", "privilegesRequired": "NONE", "scope": "CHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N", "version": "3.1" }, "exploitabilityScore": 2.2, "impactScore": 2.7, "source": "nvd@nist.gov", "type": "Primary" } ] }, "published": "2020-09-25T19:15:15.057", "references": [ { "source": "security-advisories@github.com", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02" }, { "source": "security-advisories@github.com", "tags": [ "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1" }, { "source": "security-advisories@github.com", "tags": [ "Exploit", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3" }, { "source": "af854a3a-2127-422b-91ae-364da2661108", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02" }, { "source": "af854a3a-2127-422b-91ae-364da2661108", "tags": [ "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1" }, { "source": "af854a3a-2127-422b-91ae-364da2661108", "tags": [ "Exploit", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3" } ], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Modified", "weaknesses": [ { "description": [ { "lang": "en", "value": "CWE-119" }, { "lang": "en", "value": "CWE-122" } ], "source": "security-advisories@github.com", "type": "Secondary" }, { "description": [ { "lang": "en", "value": "CWE-119" } ], "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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