Vulnerability Name: | CVE-2022-36011 (CCN-236428) | ||||||||||||
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 1cf45b831eeb0cab8655c9c7c5d06ec6f45fc41b. 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-2022-36011 Source: XF Type: UNKNOWN tensorflow-cve202236011-dos(236428) Source: MISC Type: Patch, Third Party Advisory https://github.com/tensorflow/tensorflow/commit/1cf45b831eeb0cab8655c9c7c5d06ec6f45fc41b Source: CCN Type: TensorFlow GIT Repository Null dereference on MLIR on empty function attributes Source: CONFIRM Type: Third Party Advisory https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fv43-93gv-vm8f 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-2022-36011 | ||||||||||||
Vulnerable Configuration: | Configuration 1: Configuration CCN 1: ![]() | ||||||||||||
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