PT-2022-23087 · Google · Tensorflow

Jingyi Shi · Published 2022-09-16 · Updated 2024-03-06 · CVE-2022-35989

Positive Technologies (AI Summary)

CVSS v3.1

5.9

Medium

Base vector

AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier

Description The issue occurs when the MaxPool function receives a window size input array ksize with dimensions greater than its input tensor input, causing the GPU kernel to give a CHECK fail that can be used to trigger a denial of service attack. There are no known workarounds for this issue.

Recommendations For versions prior to 2.10.0, update to TensorFlow 2.10.0 or later. For versions 2.9.1 and earlier, update to TensorFlow 2.9.1 or later. For versions 2.8.1 and earlier, update to TensorFlow 2.8.1 or later. For versions 2.7.2 and earlier, update to TensorFlow 2.7.2 or later. As a temporary workaround, consider avoiding the use of the MaxPool function with window size input arrays ksize that have dimensions greater than the input tensor input until a patch is available.

Exploit

Fix

Assertion Failure

Weakness Enumeration

CWE-617

Related Identifiers

BIT-TENSORFLOW-2022-35989

CVE-2022-35989

GHSA-J43H-PGMG-5HJQ

OPENSUSE-SU-2024:12355-1

Affected Products

Tensorflow

References · 9

• 🔥 https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/35xxx/CVE-2022-35989.json · Exploit
• https://github.com/tensorflow/tensorflow/commit/32d7bd3defd134f21a4e344c8dfd40099aaf6b18 · Patch
• https://nvd.nist.gov/vuln/detail/CVE-2022-35989 · Security Note
• https://osv.dev/vulnerability/CVE-2022-35989 · Vendor Advisory
• https://osv.dev/vulnerability/GHSA-j43h-pgmg-5hjq · Vendor Advisory
• https://osv.dev/vulnerability/BIT-tensorflow-2022-35989 · Vendor Advisory
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j43h-pgmg-5hjq · Note
• https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0 · Note
• https://github.com/tensorflow/tensorflow · Note