gsd-2021-41198
Vulnerability from gsd
Modified
2023-12-13 01:23
Details
TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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-2021-41198", "description": "TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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-2021-41198", "references": [ "https://www.suse.com/security/cve/CVE-2021-41198.html", "https://security.archlinux.org/CVE-2021-41198" ] }, "gsd": { "metadata": { "exploitCode": "unknown", "remediation": "unknown", "reportConfidence": "confirmed", "type": "vulnerability" }, "osvSchema": { "aliases": [ "CVE-2021-41198" ], "details": "TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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-2021-41198", "modified": "2023-12-13T01:23:26.934234Z", "schema_version": "1.4.0" } }, "namespaces": { "cve.org": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2021-41198", "STATE": "PUBLIC", "TITLE": "Overflow/crash in `tf.tile` when tiling tensor is large" }, "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 if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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": 5.5, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "version": "3.1" } }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "eng", "value": "CWE-190: Integer Overflow or Wraparound" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q", "refsource": "CONFIRM", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q" }, { "name": "https://github.com/tensorflow/tensorflow/issues/46911", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/issues/46911" }, { "name": "https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f" } ] }, "source": { "advisory": "GHSA-2p25-55c9-h58q", "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:N/I:N/A:P", "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-190", "CWE-937" ], "date": "2021-11-10", "description": "TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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-2021-41198", "identifiers": [ "GHSA-2p25-55c9-h58q", "CVE-2021-41198" ], "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": "Integer Overflow or Wraparound", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q", "https://nvd.nist.gov/vuln/detail/CVE-2021-41198", "https://github.com/tensorflow/tensorflow/issues/46911", "https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f", "https://github.com/advisories/GHSA-2p25-55c9-h58q" ], "uuid": "537a864b-982c-4e3f-aa18-e2d0cef5158c" }, { "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:N/I:N/A:P", "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-190", "CWE-937" ], "date": "2021-11-10", "description": "TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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-2021-41198", "identifiers": [ "GHSA-2p25-55c9-h58q", "CVE-2021-41198" ], "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": "Integer Overflow or Wraparound", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q", "https://nvd.nist.gov/vuln/detail/CVE-2021-41198", "https://github.com/tensorflow/tensorflow/issues/46911", "https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f", "https://github.com/advisories/GHSA-2p25-55c9-h58q" ], "uuid": "86ba9fb6-9319-4f0e-89e1-151fd7223f2d" }, { "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:N/I:N/A:P", "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-190", "CWE-937" ], "date": "2021-11-09", "description": "TensorFlow is an open source platform for machine learning. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process.", "fixed_versions": [ "2.4.4", "2.5.2", "2.6.1" ], "identifier": "CVE-2021-41198", "identifiers": [ "CVE-2021-41198", "GHSA-2p25-55c9-h58q" ], "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": "Integer Overflow or Wraparound", "urls": [ "https://nvd.nist.gov/vuln/detail/CVE-2021-41198", "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q", "https://github.com/tensorflow/tensorflow/issues/46911" ], "uuid": "66de051f-879c-4e7e-ac06-fd2d0fc8374e" } ] }, "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-2021-41198" }, "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 if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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-190" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f", "refsource": "MISC", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f" }, { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q", "refsource": "CONFIRM", "tags": [ "Exploit", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q" }, { "name": "https://github.com/tensorflow/tensorflow/issues/46911", "refsource": "MISC", "tags": [ "Exploit", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/issues/46911" } ] } }, "impact": { "baseMetricV2": { "acInsufInfo": false, "cvssV2": { "accessComplexity": "LOW", "accessVector": "LOCAL", "authentication": "NONE", "availabilityImpact": "PARTIAL", "baseScore": 2.1, "confidentialityImpact": "NONE", "integrityImpact": "NONE", "vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:P", "version": "2.0" }, "exploitabilityScore": 3.9, "impactScore": 2.9, "obtainAllPrivilege": false, "obtainOtherPrivilege": false, "obtainUserPrivilege": false, "severity": "LOW", "userInteractionRequired": false }, "baseMetricV3": { "cvssV3": { "attackComplexity": "LOW", "attackVector": "LOCAL", "availabilityImpact": "HIGH", "baseScore": 5.5, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "version": "3.1" }, "exploitabilityScore": 1.8, "impactScore": 3.6 } }, "lastModifiedDate": "2021-11-09T14:40Z", "publishedDate": "2021-11-05T20:15Z" } } }
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Sightings
Author | Source | Type | Date |
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Nomenclature
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- Confirmed: The vulnerability is confirmed from an analyst perspective.
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- 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.