Vulnerability · Published Sep 16, 2022 · Assigned by GitHub_M

CVE-2022-36013Null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef` in TensorFlow

Medium 5.9

In plain English

A medium-severity null pointer dereference 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::GraphDefImporter::ConvertNodeDef` tries to convert NodeDefs without an op name, it crashes. We have patched the issue in GitHub commit a0f0b9a21c9270930457095092f558fbad4c03e5. 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
PyPItensorflow2.7.2, 2.8.1, 2.9.1PYSEC-2026-3132
PyPItensorflow2.7.2GHSA-828c-5j5q-vrjq
PyPItensorflow2.8.1GHSA-828c-5j5q-vrjq
PyPItensorflow2.9.1GHSA-828c-5j5q-vrjq
PyPItensorflow-cpu2.8.1GHSA-828c-5j5q-vrjq
PyPItensorflow-cpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-3295
PyPItensorflow-cpu2.7.2GHSA-828c-5j5q-vrjq
PyPItensorflow-cpu2.9.1GHSA-828c-5j5q-vrjq
PyPItensorflow-gpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-968
PyPItensorflow-gpu2.7.2GHSA-828c-5j5q-vrjq
PyPItensorflow-gpu2.8.1GHSA-828c-5j5q-vrjq
PyPItensorflow-gpu2.9.1GHSA-828c-5j5q-vrjq

Affected products (as reported)

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

Weakness: CWE-476 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

References