gsd-2022-36000
Vulnerability from gsd
Modified
2023-12-13 01:19
Details
TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. 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.
Aliases
Aliases
{ "GSD": { "alias": "CVE-2022-36000", "description": "TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. 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.", "id": "GSD-2022-36000", "references": [ "https://www.suse.com/security/cve/CVE-2022-36000.html" ] }, "gsd": { "metadata": { "exploitCode": "unknown", "remediation": "unknown", "reportConfidence": "confirmed", "type": "vulnerability" }, "osvSchema": { "aliases": [ "CVE-2022-36000" ], "details": "TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. 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.", "id": "GSD-2022-36000", "modified": "2023-12-13T01:19:21.138993Z", "schema_version": "1.4.0" } }, "namespaces": { "cve.org": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2022-36000", "STATE": "PUBLIC", "TITLE": "Null dereference on MLIR on empty function attributes in TensorFlow" }, "affects": { "vendor": { "vendor_data": [ { "product": { "product_data": [ { "product_name": "tensorflow", "version": { "version_data": [ { "version_value": "\u003c 2.7.2" }, { "version_value": "\u003e= 2.8.0, \u003c 2.8.1" }, { "version_value": "\u003e= 2.9.0, \u003c 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. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. 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-476: NULL Pointer Dereference" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqxc-pvf8-2w9v", "refsource": "CONFIRM", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqxc-pvf8-2w9v" }, { "name": "https://github.com/tensorflow/tensorflow/commit/aed36912609fc07229b4d0a7b44f3f48efc00fd0", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/commit/aed36912609fc07229b4d0a7b44f3f48efc00fd0" } ] }, "source": { "advisory": "GHSA-fqxc-pvf8-2w9v", "discovery": "UNKNOWN" } }, "gitlab.com": { "advisories": [ { "affected_range": "\u003c2.7.2||\u003e=2.8.0,\u003c2.8.1||\u003e=2.9.0,\u003c2.9.1", "affected_versions": "All versions before 2.7.2, all versions starting from 2.8.0 before 2.8.1, all versions starting from 2.9.0 before 2.9.1", "cwe_ids": [ "CWE-1035", "CWE-937" ], "date": "2022-09-16", "description": "TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. 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.", "fixed_versions": [ "2.7.2", "2.8.1", "2.9.1" ], "identifier": "CVE-2022-36000", "identifiers": [ "GHSA-fqxc-pvf8-2w9v", "CVE-2022-36000" ], "not_impacted": "All versions starting from 2.7.2 before 2.8.0, all versions starting from 2.8.1 before 2.9.0, all versions starting from 2.9.1", "package_slug": "pypi/tensorflow-cpu", "pubdate": "2022-09-16", "solution": "Upgrade to versions 2.7.2, 2.8.1, 2.9.1 or above.", "title": "TensorFlow vulnerable to null dereference on MLIR on empty function attributes", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqxc-pvf8-2w9v", "https://github.com/tensorflow/tensorflow/commit/aed36912609fc07229b4d0a7b44f3f48efc00fd0", "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0", "https://github.com/advisories/GHSA-fqxc-pvf8-2w9v" ], "uuid": "1cb391cf-d999-4dd2-9293-ff11897e3263" }, { "affected_range": "\u003c2.7.2||\u003e=2.8.0,\u003c2.8.1||\u003e=2.9.0,\u003c2.9.1", "affected_versions": "All versions before 2.7.2, all versions starting from 2.8.0 before 2.8.1, all versions starting from 2.9.0 before 2.9.1", "cwe_ids": [ "CWE-1035", "CWE-937" ], "date": "2022-09-16", "description": "TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. 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.", "fixed_versions": [ "2.7.2", "2.8.1", "2.9.1" ], "identifier": "CVE-2022-36000", "identifiers": [ "GHSA-fqxc-pvf8-2w9v", "CVE-2022-36000" ], "not_impacted": "All versions starting from 2.7.2 before 2.8.0, all versions starting from 2.8.1 before 2.9.0, all versions starting from 2.9.1", "package_slug": "pypi/tensorflow-gpu", "pubdate": "2022-09-16", "solution": "Upgrade to versions 2.7.2, 2.8.1, 2.9.1 or above.", "title": "TensorFlow vulnerable to null dereference on MLIR on empty function attributes", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqxc-pvf8-2w9v", "https://github.com/tensorflow/tensorflow/commit/aed36912609fc07229b4d0a7b44f3f48efc00fd0", "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0", "https://github.com/advisories/GHSA-fqxc-pvf8-2w9v" ], "uuid": "9086aec3-30c8-46b1-b52b-898372a794dd" }, { "affected_range": "\u003c2.7.2||\u003e=2.8.0,\u003c2.8.1||\u003e=2.9.0,\u003c2.9.1||==2.10", "affected_versions": "All versions before 2.7.2, all versions starting from 2.8.0 before 2.8.1, all versions starting from 2.9.0 before 2.9.1, version 2.10", "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-476", "CWE-937" ], "date": "2022-09-20", "description": "TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. 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.", "fixed_versions": [ "2.7.2", "2.8.1", "2.9.1" ], "identifier": "CVE-2022-36000", "identifiers": [ "CVE-2022-36000", "GHSA-fqxc-pvf8-2w9v" ], "not_impacted": "All versions starting from 2.7.2 before 2.8.0, all versions starting from 2.8.1 before 2.9.0, all versions starting from 2.9.1 before 2.10, all versions after 2.10", "package_slug": "pypi/tensorflow", "pubdate": "2022-09-16", "solution": "Upgrade to versions 2.7.2, 2.8.1, 2.9.1 or above.", "title": "TensorFlow vulnerable to null dereference on MLIR on empty function attributes", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqxc-pvf8-2w9v", "https://github.com/tensorflow/tensorflow/commit/aed36912609fc07229b4d0a7b44f3f48efc00fd0", "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0", "https://github.com/advisories/GHSA-fqxc-pvf8-2w9v" ], "uuid": "e032159b-da87-4d48-8eaf-96744eb91139" } ] }, "nvd.nist.gov": { "configurations": { "CVE_data_version": "4.0", "nodes": [ { "children": [], "cpe_match": [ { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndExcluding": "2.8.1", "versionStartIncluding": "2.8.0", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.10:rc1:*:*:*:*:*:*", "cpe_name": [], "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.10:rc2:*:*:*:*:*:*", "cpe_name": [], "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.10:rc3:*:*:*:*:*:*", "cpe_name": [], "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.10:rc0:*:*:*:*:*:*", "cpe_name": [], "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndExcluding": "2.9.1", "versionStartIncluding": "2.9.0", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndExcluding": "2.7.2", "vulnerable": true } ], "operator": "OR" } ] }, "cve": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2022-36000" }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "en", "value": "TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. 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": "en", "value": "CWE-476" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqxc-pvf8-2w9v", "refsource": "CONFIRM", "tags": [ "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqxc-pvf8-2w9v" }, { "name": "https://github.com/tensorflow/tensorflow/commit/aed36912609fc07229b4d0a7b44f3f48efc00fd0", "refsource": "MISC", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/commit/aed36912609fc07229b4d0a7b44f3f48efc00fd0" } ] } }, "impact": { "baseMetricV3": { "cvssV3": { "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 } }, "lastModifiedDate": "2022-09-20T14:43Z", "publishedDate": "2022-09-16T23:15Z" } } }
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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.