CVE-2022-35970

{"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. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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-20", "description": "CWE-20: Improper Input Validation", "lang": "en", "type": "CWE"}]}], "providerMetadata": {"dateUpdated": "2022-09-16T20:45:13.000Z", "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M"}, "references": [{"tags": ["x_refsource_CONFIRM"], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g35r-369w-3fqp"}, {"tags": ["x_refsource_MISC"], "url": "https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0"}], "source": {"advisory": "GHSA-g35r-369w-3fqp", "discovery": "UNKNOWN"}, "title": "Segfault in `QuantizedInstanceNorm` in TensorFlow", "x_legacyV4Record": {"CVE_data_meta": {"ASSIGNER": "security-advisories@github.com", "ID": "CVE-2022-35970", "STATE": "PUBLIC", "TITLE": "Segfault in `QuantizedInstanceNorm` 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. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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-20: Improper Input Validation"}]}]}, "references": {"reference_data": [{"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g35r-369w-3fqp", "refsource": "CONFIRM", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g35r-369w-3fqp"}, {"name": "https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0"}]}, "source": {"advisory": "GHSA-g35r-369w-3fqp", "discovery": "UNKNOWN"}}}, "adp": [{"providerMetadata": {"orgId": "af854a3a-2127-422b-91ae-364da2661108", "shortName": "CVE", "dateUpdated": "2024-08-03T09:51:59.226Z"}, "title": "CVE Program Container", "references": [{"tags": ["x_refsource_CONFIRM", "x_transferred"], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g35r-369w-3fqp"}, {"tags": ["x_refsource_MISC", "x_transferred"], "url": "https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0"}]}, {"metrics": [{"other": {"type": "ssvc", "content": {"timestamp": "2025-04-23T13:59:35.586376Z", "id": "CVE-2022-35970", "options": [{"Exploitation": "none"}, {"Automatable": "no"}, {"Technical Impact": "partial"}], "role": "CISA Coordinator", "version": "2.0.3"}}}], "title": "CISA ADP Vulnrichment", "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2025-04-23T17:03:06.335Z"}}]}, "cveMetadata": {"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "assignerShortName": "GitHub_M", "cveId": "CVE-2022-35970", "datePublished": "2022-09-16T20:45:13.000Z", "dateReserved": "2022-07-15T00:00:00.000Z", "dateUpdated": "2025-04-23T17:03:06.335Z", "state": "PUBLISHED"}, "dataType": "CVE_RECORD", "dataVersion": "5.1"}

{"dataType": "CVE_RECORD", "containers": {"adp": [{"title": "CVE Program Container", "references": [{"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g35r-369w-3fqp", "tags": ["x_refsource_CONFIRM", "x_transferred"]}, {"url": "https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0", "tags": ["x_refsource_MISC", "x_transferred"]}], "providerMetadata": {"orgId": "af854a3a-2127-422b-91ae-364da2661108", "shortName": "CVE", "dateUpdated": "2024-08-03T09:51:59.226Z"}}, {"title": "CISA ADP Vulnrichment", "metrics": [{"other": {"type": "ssvc", "content": {"id": "CVE-2022-35970", "role": "CISA Coordinator", "options": [{"Exploitation": "none"}, {"Automatable": "no"}, {"Technical Impact": "partial"}], "version": "2.0.3", "timestamp": "2025-04-23T13:59:35.586376Z"}}}], "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2025-04-23T13:59:36.774Z"}}], "cna": {"title": "Segfault in `QuantizedInstanceNorm` in TensorFlow", "source": {"advisory": "GHSA-g35r-369w-3fqp", "discovery": "UNKNOWN"}, "metrics": [{"cvssV3_1": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 5.9, "attackVector": "NETWORK", "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H", "integrityImpact": "NONE", "userInteraction": "NONE", "attackComplexity": "HIGH", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "NONE"}}], "affected": [{"vendor": "tensorflow", "product": "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"}]}], "references": [{"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g35r-369w-3fqp", "tags": ["x_refsource_CONFIRM"]}, {"url": "https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0", "tags": ["x_refsource_MISC"]}], "descriptions": [{"lang": "en", "value": "TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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."}], "problemTypes": [{"descriptions": [{"lang": "en", "type": "CWE", "cweId": "CWE-20", "description": "CWE-20: Improper Input Validation"}]}], "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2022-09-16T20:45:13.000Z"}, "x_legacyV4Record": {"impact": {"cvss": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 5.9, "attackVector": "NETWORK", "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H", "integrityImpact": "NONE", "userInteraction": "NONE", "attackComplexity": "HIGH", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "NONE"}}, "source": {"advisory": "GHSA-g35r-369w-3fqp", "discovery": "UNKNOWN"}, "affects": {"vendor": {"vendor_data": [{"product": {"product_data": [{"version": {"version_data": [{"version_value": "< 2.7.2"}, {"version_value": ">= 2.8.0, < 2.8.1"}, {"version_value": ">= 2.9.0, < 2.9.1"}]}, "product_name": "tensorflow"}]}, "vendor_name": "tensorflow"}]}}, "data_type": "CVE", "references": {"reference_data": [{"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g35r-369w-3fqp", "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g35r-369w-3fqp", "refsource": "CONFIRM"}, {"url": "https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0", "name": "https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0", "refsource": "MISC"}]}, "data_format": "MITRE", "description": {"description_data": [{"lang": "eng", "value": "TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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."}]}, "problemtype": {"problemtype_data": [{"description": [{"lang": "eng", "value": "CWE-20: Improper Input Validation"}]}]}, "data_version": "4.0", "CVE_data_meta": {"ID": "CVE-2022-35970", "STATE": "PUBLIC", "TITLE": "Segfault in `QuantizedInstanceNorm` in TensorFlow", "ASSIGNER": "security-advisories@github.com"}}}}, "cveMetadata": {"cveId": "CVE-2022-35970", "state": "PUBLISHED", "dateUpdated": "2025-04-23T17:03:06.335Z", "dateReserved": "2022-07-15T00:00:00.000Z", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "datePublished": "2022-09-16T20:45:13.000Z", "assignerShortName": "GitHub_M"}, "dataVersion": "5.1"}

{"affected": [{"affectedData": [{"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"}]}], "source": "security-advisories@github.com"}], "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:*:*:*:*:*:*:*:*", "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"}]}], "cveTags": [], "descriptions": [{"lang": "en", "value": "TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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. Si a \"QuantizedInstanceNorm\" le son dados tensores \"x_min\" o \"x_max\" de un rango distinto de cero, resulta en un segfault que puede usarse para desencadenar un ataque de denegaci\u00f3n de servicio. Hemos parcheado el problema en el commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0 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-2022-35970", "lastModified": "2026-06-17T04:52:37.530", "metrics": {"cvssMetricV31": [{"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"}, {"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"}], "ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2022-35970", "options": [{"exploitation": "none"}, {"automatable": "no"}, {"technicalImpact": "partial"}], "role": "CISA Coordinator", "timestamp": "2025-04-23T13:59:35.586376Z", "version": "2.0.3"}}]}, "published": "2022-09-16T21:15:09.293", "references": [{"source": "security-advisories@github.com", "tags": ["Patch", "Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0"}, {"source": "security-advisories@github.com", "tags": ["Patch", "Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g35r-369w-3fqp"}, {"source": "af854a3a-2127-422b-91ae-364da2661108", "tags": ["Patch", "Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0"}, {"source": "af854a3a-2127-422b-91ae-364da2661108", "tags": ["Patch", "Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g35r-369w-3fqp"}], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Modified", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-20"}], "source": "security-advisories@github.com", "type": "Secondary"}, {"description": [{"lang": "en", "value": "NVD-CWE-noinfo"}], "source": "nvd@nist.gov", "type": "Primary"}]}

{}

{}