CVE-2022-35940

MEDIUM

TensorFlow - Memory Corruption

Title source: llm
STIX 2.1

Description

TensorFlow is an open source platform for machine learning. The `RaggedRangOp` function takes an argument `limits` that is eventually used to construct a `TensorShape` as an `int64`. If `limits` is a very large float, it can overflow when converted to an `int64`. This triggers an `InvalidArgument` but also throws an abort signal that crashes the program. We have patched the issue in GitHub commit 37cefa91bee4eace55715eeef43720b958a01192. 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.

Scores

CVSS v3 5.9
EPSS 0.0019
EPSS Percentile 40.6%
Attack Vector NETWORK
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

CISA SSVC

Vulnrichment
Exploitation none
Automatable no
Technical Impact partial

Details

CWE
CWE-190
Status published
Products (5)
google/tensorflow 2.10 rc0 (4 CPE variants)
google/tensorflow 2.7.0 - 2.7.2
pypi/tensorflow 0 - 2.7.2PyPI
pypi/tensorflow-cpu 0 - 2.7.2PyPI
pypi/tensorflow-gpu 0 - 2.7.2PyPI
Published Sep 16, 2022
Tracked Since Feb 18, 2026