CVE-2022-35952

MEDIUM

TensorFlow - Memory Corruption

Title source: llm
STIX 2.1

Description

TensorFlow is an open source platform for machine learning. The `UnbatchGradOp` function takes an argument `id` that is assumed to be a scalar. A nonscalar `id` can trigger a `CHECK` failure and crash the program. It also requires its argument `batch_index` to contain three times the number of elements as indicated in its `batch_index.dim_size(0)`. An incorrect `batch_index` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHub commit 5f945fc6409a3c1e90d6970c9292f805f6e6ddf2. 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 0.0022
EPSS Percentile 44.2%
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-617
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