Vulnerability · Published Mar 24, 2023 · Assigned by GitHub_M

CVE-2023-25676TensorFlow has null dereference on ParallelConcat with XLA

High 7.5

In plain English

A high-severity null pointer dereference 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 0.4% (higher than 34% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.5High
Exploit odds (30 days)0.4%top 66.2% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official description

TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.ParallelConcat` segfaults with a nullptr dereference when given a parameter `shape` with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.11.1GHSA-6wfh-89q8-44jq
PyPItensorflow2.11.1PYSEC-2026-3123
PyPItensorflow-cpu2.11.1GHSA-6wfh-89q8-44jq
PyPItensorflow-cpu2.11.1PYSEC-2026-3287
PyPItensorflow-gpu2.11.1GHSA-6wfh-89q8-44jq
PyPItensorflow-gpu2.11.1PYSEC-2026-961

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.11.1

Weakness: CWE-476 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

References