PT-2022-23084 · Google · Tensorflow

Di Jin · Published 2022-09-16 · Updated 2024-03-06 · CVE-2022-35986

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, 2.8.1, and 2.7.2

Description The issue occurs when RaggedBincount is given an empty input tensor splits, resulting in a segfault that can be used to trigger a denial of service attack. There are no known workarounds for this issue.

Recommendations For TensorFlow versions prior to 2.10.0, update to version 2.10.0 or later. For TensorFlow versions 2.9.1, 2.8.1, and 2.7.2, update to the respective patched versions. As a temporary workaround, consider avoiding the use of RaggedBincount with empty input tensors until a patch is available.

Exploit

Fix

RCE

Weakness Enumeration

CWE-20

Related Identifiers

BIT-TENSORFLOW-2022-35986

CVE-2022-35986

GHSA-WR9V-G9VF-C74V

OPENSUSE-SU-2024:12355-1

Affected Products

Tensorflow

References · 10

• 🔥 https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/35xxx/CVE-2022-35986.json · Exploit
• https://github.com/tensorflow/tensorflow/commit/7a4591fd4f065f4fa903593bc39b2f79530a74b8 · Patch
• https://osv.dev/vulnerability/GHSA-wr9v-g9vf-c74v · Vendor Advisory
• https://osv.dev/vulnerability/CVE-2022-35986 · Vendor Advisory
• https://osv.dev/vulnerability/BIT-tensorflow-2022-35986 · Vendor Advisory
• https://nvd.nist.gov/vuln/detail/CVE-2022-35986 · Security Note
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wr9v-g9vf-c74v · Note
• https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0 · Note
• https://github.com/tensorflow/tensorflow · Note
• https://t.me/cvenotify/36382 · Telegram Post