Vulnerability · Published Mar 24, 2023 · Assigned by GitHub_M

CVE-2023-25660TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`

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 platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when the parameter `summarize` of `tf.raw_ops.Print` is zero, the new method `SummarizeArray<bool>` will reference to a nullptr, leading to a seg fault. A fix is included in TensorFlow version 2.12 and version 2.11.1.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.11.1GHSA-qjqc-vqcf-5qvj
PyPItensorflow2.11.1PYSEC-2026-3231
PyPItensorflow-cpu2.11.1GHSA-qjqc-vqcf-5qvj
PyPItensorflow-cpu2.11.1PYSEC-2026-3362
PyPItensorflow-gpu2.11.1GHSA-qjqc-vqcf-5qvj
PyPItensorflow-gpu2.11.1PYSEC-2026-1963

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.1.1

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

References