Log in Start free

Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M

CVE-2022-23587Integer overflow in Tensorflow

High 8.8

In plain English

A high-severity integer overflow in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.9% (higher than 60% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)8.8High
Exploit odds (30 days)0.9%top 40.3% 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, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. 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-8jj7-5vxc-pg2q
PyPItensorflow2.6.3GHSA-8jj7-5vxc-pg2q
PyPItensorflow2.7.1GHSA-8jj7-5vxc-pg2q
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3137
PyPItensorflow-cpu2.6.3GHSA-8jj7-5vxc-pg2q
PyPItensorflow-cpu2.7.1GHSA-8jj7-5vxc-pg2q
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-96
PyPItensorflow-cpu2.5.3GHSA-8jj7-5vxc-pg2q
PyPItensorflow-gpu2.7.1GHSA-8jj7-5vxc-pg2q
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-151
PyPItensorflow-gpu2.5.3GHSA-8jj7-5vxc-pg2q
PyPItensorflow-gpu2.6.3GHSA-8jj7-5vxc-pg2q

Affected products (as reported)

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

Weakness: CWE-190 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

References