gsd-2021-41226
Vulnerability from gsd
Modified
2023-12-13 01:23
Details
TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Aliases
Aliases
{ "GSD": { "alias": "CVE-2021-41226", "description": "TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.", "id": "GSD-2021-41226", "references": [ "https://www.suse.com/security/cve/CVE-2021-41226.html", "https://security.archlinux.org/CVE-2021-41226" ] }, "gsd": { "metadata": { "exploitCode": "unknown", "remediation": "unknown", "reportConfidence": "confirmed", "type": "vulnerability" }, "osvSchema": { "aliases": [ "CVE-2021-41226" ], "details": "TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.", "id": "GSD-2021-41226", "modified": "2023-12-13T01:23:27.592565Z", "schema_version": "1.4.0" } }, "namespaces": { "cve.org": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2021-41226", "STATE": "PUBLIC", "TITLE": "Heap OOB read in `SparseBinCount`" }, "affects": { "vendor": { "vendor_data": [ { "product": { "product_data": [ { "product_name": "tensorflow", "version": { "version_data": [ { "version_value": "\u003e= 2.6.0, \u003c 2.6.1" }, { "version_value": "\u003e= 2.5.0, \u003c 2.5.2" }, { "version_value": "\u003c 2.4.4" } ] } } ] }, "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. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range." } ] }, "impact": { "cvss": { "attackComplexity": "LOW", "attackVector": "LOCAL", "availabilityImpact": "HIGH", "baseScore": 7.1, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "NONE", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H", "version": "3.1" } }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "eng", "value": "CWE-125: Out-of-bounds Read" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-374m-jm66-3vj8", "refsource": "CONFIRM", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-374m-jm66-3vj8" }, { "name": "https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba" } ] }, "source": { "advisory": "GHSA-374m-jm66-3vj8", "discovery": "UNKNOWN" } }, "gitlab.com": { "advisories": [ { "affected_range": "\u003e=2.6.0,\u003c2.6.1||\u003e=2.5.0,\u003c2.5.2||\u003c2.4.4", "affected_versions": "All versions starting from 2.6.0 before 2.6.1, all versions starting from 2.5.0 before 2.5.2, all versions before 2.4.4", "cvss_v2": "AV:L/AC:L/Au:N/C:P/I:N/A:P", "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-125", "CWE-937" ], "date": "2021-11-10", "description": "TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.", "fixed_versions": [ "2.6.1", "2.4.4", "2.4.4" ], "identifier": "CVE-2021-41226", "identifiers": [ "GHSA-374m-jm66-3vj8", "CVE-2021-41226" ], "not_impacted": "All versions before 2.6.0, all versions starting from 2.6.1, all versions before 2.5.0, all versions starting from 2.4.4 before 2.5.2", "package_slug": "pypi/tensorflow-cpu", "pubdate": "2021-11-10", "solution": "Upgrade to versions 2.6.1, 2.4.4, 2.4.4 or above.", "title": "Out-of-bounds Read", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-374m-jm66-3vj8", "https://nvd.nist.gov/vuln/detail/CVE-2021-41226", "https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba", "https://github.com/advisories/GHSA-374m-jm66-3vj8" ], "uuid": "a78b6c64-3a04-4921-b1df-fcf55d81fa70" }, { "affected_range": "\u003e=2.6.0,\u003c2.6.1||\u003e=2.5.0,\u003c2.5.2||\u003c2.4.4", "affected_versions": "All versions starting from 2.6.0 before 2.6.1, all versions starting from 2.5.0 before 2.5.2, all versions before 2.4.4", "cvss_v2": "AV:L/AC:L/Au:N/C:P/I:N/A:P", "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-125", "CWE-937" ], "date": "2021-11-10", "description": "TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.", "fixed_versions": [ "2.6.1", "2.4.4", "2.4.4" ], "identifier": "CVE-2021-41226", "identifiers": [ "GHSA-374m-jm66-3vj8", "CVE-2021-41226" ], "not_impacted": "All versions before 2.6.0, all versions starting from 2.6.1, all versions before 2.5.0, all versions starting from 2.4.4 before 2.5.2", "package_slug": "pypi/tensorflow-gpu", "pubdate": "2021-11-10", "solution": "Upgrade to versions 2.6.1, 2.4.4, 2.4.4 or above.", "title": "Out-of-bounds Read", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-374m-jm66-3vj8", "https://nvd.nist.gov/vuln/detail/CVE-2021-41226", "https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba", "https://github.com/advisories/GHSA-374m-jm66-3vj8" ], "uuid": "694058a2-a0a4-4b99-80a7-8409be016d90" }, { "affected_range": "\u003c2.4.4||\u003e=2.5.0,\u003c2.5.2||\u003e=2.6.0,\u003c2.6.1", "affected_versions": "All versions before 2.4.4, all versions starting from 2.5.0 before 2.5.2, all versions starting from 2.6.0 before 2.6.1", "cvss_v2": "AV:L/AC:L/Au:N/C:P/I:N/A:P", "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-125", "CWE-937" ], "date": "2021-11-09", "description": "TensorFlow is an open source platform for machine learning.This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, and TensorFlow, as these are also affected and still in supported range.", "fixed_versions": [ "2.4.4", "2.5.2", "2.6.1" ], "identifier": "CVE-2021-41226", "identifiers": [ "CVE-2021-41226", "GHSA-374m-jm66-3vj8" ], "not_impacted": "All versions starting from 2.4.4 before 2.5.0, all versions starting from 2.5.2 before 2.6.0, all versions starting from 2.6.1", "package_slug": "pypi/tensorflow", "pubdate": "2021-11-05", "solution": "Upgrade to versions 2.4.4, 2.5.2, 2.6.1 or above.", "title": "Out-of-bounds Read", "urls": [ "https://nvd.nist.gov/vuln/detail/CVE-2021-41226", "https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba", "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-374m-jm66-3vj8" ], "uuid": "149e942e-0e33-42a1-811c-a984d2e22415" } ] }, "nvd.nist.gov": { "configurations": { "CVE_data_version": "4.0", "nodes": [ { "children": [], "cpe_match": [ { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndExcluding": "2.4.4", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndExcluding": "2.5.2", "versionStartIncluding": "2.5.0", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndExcluding": "2.6.1", "versionStartIncluding": "2.6.0", "vulnerable": true } ], "operator": "OR" } ] }, "cve": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2021-41226" }, "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. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range." } ] }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "en", "value": "CWE-125" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba", "refsource": "MISC", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba" }, { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-374m-jm66-3vj8", "refsource": "CONFIRM", "tags": [ "Exploit", "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-374m-jm66-3vj8" } ] } }, "impact": { "baseMetricV2": { "acInsufInfo": false, "cvssV2": { "accessComplexity": "LOW", "accessVector": "LOCAL", "authentication": "NONE", "availabilityImpact": "PARTIAL", "baseScore": 3.6, "confidentialityImpact": "PARTIAL", "integrityImpact": "NONE", "vectorString": "AV:L/AC:L/Au:N/C:P/I:N/A:P", "version": "2.0" }, "exploitabilityScore": 3.9, "impactScore": 4.9, "obtainAllPrivilege": false, "obtainOtherPrivilege": false, "obtainUserPrivilege": false, "severity": "LOW", "userInteractionRequired": false }, "baseMetricV3": { "cvssV3": { "attackComplexity": "LOW", "attackVector": "LOCAL", "availabilityImpact": "HIGH", "baseScore": 7.1, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "NONE", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H", "version": "3.1" }, "exploitabilityScore": 1.8, "impactScore": 5.2 } }, "lastModifiedDate": "2021-11-09T15:19Z", "publishedDate": "2021-11-05T21:15Z" } } }
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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.
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- 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.