Vulnerability · Published Sep 16, 2022 · Assigned by GitHub_M

CVE-2022-36012Assertion fail on MLIR empty edge names in TensorFlow

Medium 5.9

In plain English

A medium-severity security flaw in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.7% (higher than 53% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.9Medium
Exploit odds (30 days)0.7%top 46.6% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official description

TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it crashes. We have patched the issue in GitHub commit ad069af92392efee1418c48ff561fd3070a03d7b. 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.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.9.1GHSA-jvhc-5hhr-w3v5
PyPItensorflow2.8.1GHSA-jvhc-5hhr-w3v5
PyPItensorflow2.7.2GHSA-jvhc-5hhr-w3v5
PyPItensorflow2.7.2, 2.8.1, 2.9.1PYSEC-2026-3210
PyPItensorflow-cpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-3347
PyPItensorflow-cpu2.7.2GHSA-jvhc-5hhr-w3v5
PyPItensorflow-cpu2.8.1GHSA-jvhc-5hhr-w3v5
PyPItensorflow-cpu2.9.1GHSA-jvhc-5hhr-w3v5
PyPItensorflow-gpu2.9.1GHSA-jvhc-5hhr-w3v5
PyPItensorflow-gpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-1015
PyPItensorflow-gpu2.8.1GHSA-jvhc-5hhr-w3v5
PyPItensorflow-gpu2.7.2GHSA-jvhc-5hhr-w3v5

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.7.2>= 2.8.0, < 2.8.1>= 2.9.0, < 2.9.1

Weakness: CWE-617 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

References