Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M

CVE-2022-23572Crash when type cannot be specialized in Tensorflow

Medium 6.5

In plain English

A medium-severity security flaw in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 1.0% (higher than 63% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)6.5Medium
Exploit odds (30 days)1.0%top 37.0% 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. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the `DCHECK` function however, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the `ValueOrDie` line. This results in an assertion failure as `ret` contains an error `Status`, not a value. In the second case we also get a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.5.3GHSA-rww7-2gpw-fv6j
PyPItensorflow2.6.3GHSA-rww7-2gpw-fv6j
PyPItensorflow2.7.1GHSA-rww7-2gpw-fv6j
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3241
PyPItensorflow-cpu2.6.3GHSA-rww7-2gpw-fv6j
PyPItensorflow-cpu2.7.1GHSA-rww7-2gpw-fv6j
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-81
PyPItensorflow-cpu2.5.3GHSA-rww7-2gpw-fv6j
PyPItensorflow-gpu2.7.1GHSA-rww7-2gpw-fv6j
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-136
PyPItensorflow-gpu2.5.3GHSA-rww7-2gpw-fv6j
PyPItensorflow-gpu2.6.3GHSA-rww7-2gpw-fv6j

Affected products (as reported)

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

Weakness: CWE-754 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References