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Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M

CVE-2022-23595Null pointer dereference in TensorFlow

Medium 5.3

In plain English

A medium-severity null pointer dereference in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.8% (higher than 56% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.3Medium
Exploit odds (30 days)0.8%top 43.9% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known

Official description

Tensorflow is an Open Source Machine Learning Framework. When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference. In the default scenario, all devices are allowed, so `flr->config_proto` is `nullptr`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.5.3GHSA-fpcp-9h7m-ffpx
PyPItensorflow2.6.3GHSA-fpcp-9h7m-ffpx
PyPItensorflow2.7.1GHSA-fpcp-9h7m-ffpx
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3173
PyPItensorflow-cpu2.6.3GHSA-fpcp-9h7m-ffpx
PyPItensorflow-cpu2.7.1GHSA-fpcp-9h7m-ffpx
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-103
PyPItensorflow-cpu2.5.3GHSA-fpcp-9h7m-ffpx
PyPItensorflow-gpu2.7.1GHSA-fpcp-9h7m-ffpx
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-158
PyPItensorflow-gpu2.5.3GHSA-fpcp-9h7m-ffpx
PyPItensorflow-gpu2.6.3GHSA-fpcp-9h7m-ffpx

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.7.0, < 2.7.1>= 2.6.0, < 2.6.3< 2.5.3

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

References