Vulnerability Name: | CVE-2022-36000 (CCN-236436) | ||||||||||||
Assigned: | 2022-09-15 | ||||||||||||
Published: | 2022-09-15 | ||||||||||||
Updated: | 2022-09-20 | ||||||||||||
Summary: | 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. | ||||||||||||
CVSS v3 Severity: | 7.5 High (CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H) 6.5 Medium (Temporal CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H/E:U/RL:O/RC:C)
5.2 Medium (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H/E:U/RL:O/RC:C)
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CVSS v2 Severity: | 5.4 Medium (CCN CVSS v2 Vector: AV:N/AC:H/Au:N/C:N/I:N/A:C)
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Vulnerability Type: | CWE-476 | ||||||||||||
Vulnerability Consequences: | Denial of Service | ||||||||||||
References: | Source: MITRE Type: CNA CVE-2022-36000 Source: XF Type: UNKNOWN tensorflow-cve202236000-dos(236436) Source: MISC Type: Patch, Third Party Advisory https://github.com/tensorflow/tensorflow/commit/aed36912609fc07229b4d0a7b44f3f48efc00fd0 Source: CCN Type: TensorFlow GIT Repository CHECK fail in Eig Source: CONFIRM Type: Third Party Advisory https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqxc-pvf8-2w9v Source: CCN Type: IBM Security Bulletin 6840935 (Watson Discovery) IBM Watson Discovery for IBM Cloud Pak for Data affected by vulnerability in TensorFlow Source: CCN Type: Mend Vulnerability Database CVE-2022-36000 | ||||||||||||
Vulnerable Configuration: | Configuration 1: Configuration CCN 1: Denotes that component is vulnerable | ||||||||||||
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