{"containers": {"cna": {"affected": [{"product": "tensorflow", "vendor": "tensorflow", "versions": [{"status": "affected", "version": "< 2.7.2"}, {"status": "affected", "version": ">= 2.8.0, < 2.8.1"}, {"status": "affected", "version": ">= 2.9.0, < 2.9.1"}]}], "descriptions": [{"lang": "en", "value": "TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue."}], "metrics": [{"cvssV3_1": {"attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 5.9, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.1"}}], "problemTypes": [{"descriptions": [{"cweId": "CWE-617", "description": "CWE-617: Reachable Assertion", "lang": "en", "type": "CWE"}]}], "providerMetadata": {"dateUpdated": "2022-09-16T21:15:12", "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M"}, "references": [{"tags": ["x_refsource_CONFIRM"], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw"}, {"tags": ["x_refsource_MISC"], "url": "https://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4"}], "source": {"advisory": "GHSA-vxv8-r8q2-63xw", "discovery": "UNKNOWN"}, "title": "`CHECK` fail in `FractionalMaxPoolGrad` in TensorFlow", "x_legacyV4Record": {"CVE_data_meta": {"ASSIGNER": "security-advisories@github.com", "ID": "CVE-2022-35981", "STATE": "PUBLIC", "TITLE": "`CHECK` fail in `FractionalMaxPoolGrad` in TensorFlow"}, "affects": {"vendor": {"vendor_data": [{"product": {"product_data": [{"product_name": "tensorflow", "version": {"version_data": [{"version_value": "< 2.7.2"}, {"version_value": ">= 2.8.0, < 2.8.1"}, {"version_value": ">= 2.9.0, < 2.9.1"}]}}]}, "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. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue."}]}, "impact": {"cvss": {"attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 5.9, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.1"}}, "problemtype": {"problemtype_data": [{"description": [{"lang": "eng", "value": "CWE-617: Reachable Assertion"}]}]}, "references": {"reference_data": [{"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw", "refsource": "CONFIRM", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw"}, {"name": "https://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4"}]}, "source": {"advisory": "GHSA-vxv8-r8q2-63xw", "discovery": "UNKNOWN"}}}}, "cveMetadata": {"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "assignerShortName": "GitHub_M", "cveId": "CVE-2022-35981", "datePublished": "2022-09-16T21:15:12", "dateReserved": "2022-07-15T00:00:00", "dateUpdated": "2022-09-16T21:15:12", "state": "PUBLISHED"}, "dataType": "CVE_RECORD", "dataVersion": "5.0"}

{"configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "matchCriteriaId": "C6622D95-1C86-45C5-AB55-E6EEEA0996DF", "versionEndExcluding": "2.7.2", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "matchCriteriaId": "0F9D273D-02DC-441E-AA91-EAC8DEAA4B44", "versionEndExcluding": "2.8.1", "versionStartIncluding": "2.8.0", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "matchCriteriaId": "FE4F8A81-6CC2-4F7F-9602-C170FDD926E7", "versionEndExcluding": "2.9.1", "versionStartIncluding": "2.9.0", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:2.10:rc0:*:*:*:*:*:*", "matchCriteriaId": "1DBFBCE2-0A01-4575-BE45-6775ABFB8B28", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:2.10:rc1:*:*:*:*:*:*", "matchCriteriaId": "89806CF9-E423-4CA6-A01A-8175C260CB24", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:2.10:rc2:*:*:*:*:*:*", "matchCriteriaId": "F2B80690-A257-4E16-BD27-9AE045BC56ED", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:2.10:rc3:*:*:*:*:*:*", "matchCriteriaId": "F335F9A4-5AB8-4E53-BC18-E01F7C653E5E", "vulnerable": true}], "negate": false, "operator": "OR"}]}], "descriptions": [{"lang": "en", "value": "TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue."}, {"lang": "es", "value": "TensorFlow es una plataforma de c\u00f3digo abierto para el aprendizaje autom\u00e1tico. \"FractionalMaxPoolGrad\" comprueba sus entradas con fallos \"CHECK\" en lugar de devolver errores. Si recibe entradas de tama\u00f1o incorrecto, el fallo de \"CHECK\" puede ser usado para desencadenar un ataque de denegaci\u00f3n de servicio. Hemos parcheado el problema en el commit 8741e57d163a079db05a7107a7609af70931def4 de GitHub. La correcci\u00f3n ser\u00e1 incluida en TensorFlow versi\u00f3n 2.10.0. Tambi\u00e9n seleccionaremos este compromiso en TensorFlow versi\u00f3n 2.9.1, TensorFlow versi\u00f3n 2.8.1, y TensorFlow versi\u00f3n 2.7.2, ya que estos tambi\u00e9n est\u00e1n afectados y todav\u00eda est\u00e1n en el rango admitido. No se presentan mitigaciones conocidas para este problema"}], "id": "CVE-2022-35981", "lastModified": "2022-09-20T14:53:05.007", "metrics": {"cvssMetricV31": [{"cvssData": {"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, "source": "nvd@nist.gov", "type": "Primary"}, {"cvssData": {"attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 5.9, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.1"}, "exploitabilityScore": 2.2, "impactScore": 3.6, "source": "security-advisories@github.com", "type": "Secondary"}]}, "published": "2022-09-16T22:15:11.183", "references": [{"source": "security-advisories@github.com", "tags": ["Patch", "Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4"}, {"source": "security-advisories@github.com", "tags": ["Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw"}], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Analyzed", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-617"}], "source": "security-advisories@github.com", "type": "Primary"}]}

{}