{"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. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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": "2022-09-16T19:55:11", "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M"}, "references": [{"tags": ["x_refsource_CONFIRM"], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wxjj-cgcx-r3vq"}, {"tags": ["x_refsource_MISC"], "url": "https://github.com/tensorflow/tensorflow/commit/9178ac9d6389bdc54638ab913ea0e419234d14eb"}], "source": {"advisory": "GHSA-wxjj-cgcx-r3vq", "discovery": "UNKNOWN"}, "title": "`CHECK` failures in `AvgPool3DGrad` in TensorFlow", "x_legacyV4Record": {"CVE_data_meta": {"ASSIGNER": "security-advisories@github.com", "ID": "CVE-2022-35959", "STATE": "PUBLIC", "TITLE": "`CHECK` failures in `AvgPool3DGrad` 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. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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-wxjj-cgcx-r3vq", "refsource": "CONFIRM", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wxjj-cgcx-r3vq"}, {"name": "https://github.com/tensorflow/tensorflow/commit/9178ac9d6389bdc54638ab913ea0e419234d14eb", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/commit/9178ac9d6389bdc54638ab913ea0e419234d14eb"}]}, "source": {"advisory": "GHSA-wxjj-cgcx-r3vq", "discovery": "UNKNOWN"}}}}, "cveMetadata": {"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "assignerShortName": "GitHub_M", "cveId": "CVE-2022-35959", "datePublished": "2022-09-16T19:55:11", "dateReserved": "2022-07-15T00:00:00", "dateUpdated": "2022-09-16T19:55:11", "state": "PUBLISHED"}, "dataType": "CVE_RECORD", "dataVersion": "5.0"}

{"configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "matchCriteriaId": "C4DFBF2D-5283-42F6-8800-D653BFA5CE82", "versionEndExcluding": "2.7.2", "versionStartIncluding": "2.7.0", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:2.8.0:*:*:*:*:*:*:*", "matchCriteriaId": "C3684238-B1B8-4134-9FED-8A3733E1F39B", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:2.9.0:*:*:*:*:*:*:*", "matchCriteriaId": "08DF9052-55EF-4B54-94C6-EC9B4FC87DE1", "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. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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. La implementaci\u00f3n de \"AvgPool3DGradOp\" no comprueba completamente la entrada \"orig_input_shape\". Esto resulta en un desbordamiento que resulta en un fallo de \"CHECK\" que puede ser usado para desencadenar un ataque de denegaci\u00f3n de servicio. Hemos parcheado el problema en el commit 9178ac9d6389bdc54638ab913ea0e419234d14eb 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-2022-35959", "lastModified": "2022-09-21T17:12:03.627", "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": "2022-09-16T20:15:10.510", "references": [{"source": "security-advisories@github.com", "tags": ["Patch", "Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/commit/9178ac9d6389bdc54638ab913ea0e419234d14eb"}, {"source": "security-advisories@github.com", "tags": ["Patch", "Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wxjj-cgcx-r3vq"}], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Analyzed", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-617"}], "source": "security-advisories@github.com", "type": "Primary"}]}

{}