Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M

CVE-2022-23582`CHECK`-failures in `TensorByteSize` 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 0.8% (higher than 56% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)6.5Medium
Exploit odds (30 days)0.8%top 43.6% 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. A malicious user can cause a denial of service by altering a `SavedModel` such that `TensorByteSize` would trigger `CHECK` failures. `TensorShape` constructor throws a `CHECK`-fail if shape is partial or has a number of elements that would overflow the size of an `int`. The `PartialTensorShape` constructor instead does not cause a `CHECK`-abort if the shape is partial, which is exactly what this function needs to be able to return `-1`. 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-4j82-5ccr-4r8v
PyPItensorflow2.6.3GHSA-4j82-5ccr-4r8v
PyPItensorflow2.7.1GHSA-4j82-5ccr-4r8v
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3100
PyPItensorflow-cpu2.6.3GHSA-4j82-5ccr-4r8v
PyPItensorflow-cpu2.7.1GHSA-4j82-5ccr-4r8v
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-91
PyPItensorflow-cpu2.5.3GHSA-4j82-5ccr-4r8v
PyPItensorflow-gpu2.7.1GHSA-4j82-5ccr-4r8v
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-146
PyPItensorflow-gpu2.5.3GHSA-4j82-5ccr-4r8v
PyPItensorflow-gpu2.6.3GHSA-4j82-5ccr-4r8v

Affected products (as reported)

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

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

References