Vulnerability · Published Sep 16, 2022 · Assigned by GitHub_M

CVE-2022-35965Segfault in `LowerBound` and `UpperBound` in TensorFlow

Medium 5.9

In plain English

A medium-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 0.5% (higher than 40% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.9Medium
Exploit odds (30 days)0.5%top 59.8% 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. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.9.1GHSA-qxpx-j395-pw36
PyPItensorflow2.8.1GHSA-qxpx-j395-pw36
PyPItensorflow2.7.2GHSA-qxpx-j395-pw36
PyPItensorflow2.7.2, 2.8.1, 2.9.1PYSEC-2026-3233
PyPItensorflow-cpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-3363
PyPItensorflow-cpu2.7.2GHSA-qxpx-j395-pw36
PyPItensorflow-cpu2.8.1GHSA-qxpx-j395-pw36
PyPItensorflow-cpu2.9.1GHSA-qxpx-j395-pw36
PyPItensorflow-gpu2.9.1GHSA-qxpx-j395-pw36
PyPItensorflow-gpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-1030
PyPItensorflow-gpu2.8.1GHSA-qxpx-j395-pw36
PyPItensorflow-gpu2.7.2GHSA-qxpx-j395-pw36

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.7.2>= 2.8.0, < 2.8.1>= 2.9.0, < 2.9.1

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

References