Vulnerability · Published Nov 5, 2021 · Assigned by GitHub_M

CVE-2021-41203Missing validation during checkpoint loading

High 7.8

In plain English

A high-severity insufficient verification of data authenticity in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 9% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.8High
Exploit odds (30 days)0.2%top 91.4% of all CVEs
Exploited in the wildNo reportsnot in CISA KEV
Attack toolingNoneno public tooling known

Official description

TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.4.4, 2.5.2, 2.6.1, 2.7.0PYSEC-2021-396
PyPItensorflow2.6.1GHSA-7pxj-m4jf-r6h2
PyPItensorflow2.5.2GHSA-7pxj-m4jf-r6h2
PyPItensorflow2.4.4GHSA-7pxj-m4jf-r6h2
PyPItensorflow-cpu2.5.2GHSA-7pxj-m4jf-r6h2
PyPItensorflow-cpu2.4.4, 2.5.2, 2.6.1, 2.7.0PYSEC-2021-613
PyPItensorflow-cpu2.6.1GHSA-7pxj-m4jf-r6h2
PyPItensorflow-cpu2.4.4GHSA-7pxj-m4jf-r6h2
PyPItensorflow-gpu2.4.4, 2.5.2, 2.6.1, 2.7.0PYSEC-2021-811
PyPItensorflow-gpu2.6.1GHSA-7pxj-m4jf-r6h2
PyPItensorflow-gpu2.5.2GHSA-7pxj-m4jf-r6h2
PyPItensorflow-gpu2.4.4GHSA-7pxj-m4jf-r6h2

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.6.0, < 2.6.1>= 2.5.0, < 2.5.2< 2.4.4

Weakness: CWE-345 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

References