Vulnerability · Published Sep 16, 2022 · Assigned by GitHub_M

CVE-2022-35986Segfault in `RaggedBincount` in TensorFlow

Medium 5.9

In plain English

A medium-severity improper input validation 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 44% 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 56.3% 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 `RaggedBincount` is given an empty input tensor `splits`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8. 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

Ecosystem	Package	Fixed in	Advisory
PyPI	tensorflow	2.7.2	GHSA-wr9v-g9vf-c74v
PyPI	tensorflow	2.8.1	GHSA-wr9v-g9vf-c74v
PyPI	tensorflow	2.9.1	GHSA-wr9v-g9vf-c74v
PyPI	tensorflow	2.7.2, 2.8.1, 2.9.1	PYSEC-2026-938

Affected products (as reported)

Vendor	Product	Versions
tensorflow	tensorflow	< 2.7.2>= 2.8.0, < 2.8.1>= 2.9.0, < 2.9.1

Weakness: CWE-20 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

References

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wr9v-g9vf-c74v x_refsource_CONFIRM
https://github.com/tensorflow/tensorflow/commit/7a4591fd4f065f4fa903593bc39b2f79530a74b8 x_refsource_MISC