{"dataType": "CVE_RECORD", "dataVersion": "5.0", "cveMetadata": {"state": "PUBLISHED", "cveId": "CVE-2022-41900", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "assignerShortName": "GitHub_M", "dateUpdated": "2022-11-18T00:00:00", "dateReserved": "2022-09-30T00:00:00", "datePublished": "2022-11-18T00:00:00"}, "containers": {"cna": {"title": "FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess in Tensorflow", "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2022-11-18T00:00:00"}, "descriptions": [{"lang": "en", "value": "TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1."}], "affected": [{"vendor": "tensorflow", "product": "tensorflow", "versions": [{"version": ">= 2.10.0, < 2.10.1", "status": "affected"}, {"version": ">= 2.9.0, < 2.9.3", "status": "affected"}, {"version": "< 2.8.4", "status": "affected"}]}], "references": [{"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472"}, {"url": "https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48"}], "metrics": [{"cvssV3_1": {"version": "3.1", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H", "attackVector": "NETWORK", "attackComplexity": "HIGH", "privilegesRequired": "LOW", "userInteraction": "REQUIRED", "scope": "UNCHANGED", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "availabilityImpact": "HIGH", "baseScore": 7.1, "baseSeverity": "HIGH"}}], "problemTypes": [{"descriptions": [{"type": "CWE", "lang": "en", "description": "CWE-787: Out-of-bounds Write", "cweId": "CWE-787"}]}, {"descriptions": [{"type": "CWE", "lang": "en", "description": "CWE-125: Out-of-bounds Read", "cweId": "CWE-125"}]}], "source": {"advisory": "GHSA-xvwp-h6jv-7472", "discovery": "UNKNOWN"}}}}

{"configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "matchCriteriaId": "A694EEE1-BFB9-4E6C-B275-02DC2731961C", "versionEndExcluding": "2.8.4", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "matchCriteriaId": "9057B403-719C-4F10-BAB6-67F84786A89E", "versionEndExcluding": "2.9.3", "versionStartIncluding": "2.9.0", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:2.10.0:*:*:*:*:*:*:*", "matchCriteriaId": "6AE6CFC4-0232-4E1C-960D-268C87788735", "vulnerable": true}], "negate": false, "operator": "OR"}]}], "descriptions": [{"lang": "en", "value": "TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1."}, {"lang": "es", "value": "TensorFlow es una plataforma de c\u00f3digo abierto para aprendizaje autom\u00e1tico. La vulnerabilidad de seguridad da como resultado un grupo FractionalMax(AVG) con una relaci\u00f3n de agrupaci\u00f3n ilegal. Los atacantes que utilizan Tensorflow pueden aprovechar la vulnerabilidad. Pueden acceder a la memoria del mont\u00f3n que no est\u00e1 bajo el control del usuario, lo que provoca un bloqueo o la ejecuci\u00f3n remota de c\u00f3digo. Hemos solucionado el problema en el commit de GitHub 216525144ee7c910296f5b05d214ca1327c9ce48. La soluci\u00f3n se incluir\u00e1 en TensorFlow 2.11.0. Tambi\u00e9n seleccionaremos este commit en TensorFlow 2.10.1."}], "id": "CVE-2022-41900", "lastModified": "2022-11-23T13:35:44.303", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 9.8, "baseSeverity": "CRITICAL", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 3.9, "impactScore": 5.9, "source": "nvd@nist.gov", "type": "Primary"}, {"cvssData": {"attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 7.1, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 1.2, "impactScore": 5.9, "source": "security-advisories@github.com", "type": "Secondary"}]}, "published": "2022-11-18T22:15:20.273", "references": [{"source": "security-advisories@github.com", "tags": ["Patch", "Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48"}, {"source": "security-advisories@github.com", "tags": ["Exploit", "Patch", "Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472"}], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Analyzed", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-125"}, {"lang": "en", "value": "CWE-787"}], "source": "security-advisories@github.com", "type": "Primary"}]}

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