Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M

CVE-2022-23590Crash due to erroneous `StatusOr` in Tensorflow

Medium 5.9

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 62% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.9Medium
Exploit odds (30 days)1.0%top 37.6% 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 `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.7.1GHSA-pqrv-8r2f-7278
PyPItensorflow2.7.1PYSEC-2026-3225
PyPItensorflow-cpu2.7.1GHSA-pqrv-8r2f-7278
PyPItensorflow-cpu2.7.1PYSEC-2022-99
PyPItensorflow-gpu2.7.1GHSA-pqrv-8r2f-7278
PyPItensorflow-gpu2.7.1PYSEC-2022-154

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.7.0, < 2.8.0

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

References