PT-2022-23066 · Google · Tensorflow

Neophytos Christou · Published 2022-09-16 · Updated 2024-03-06 · CVE-2022-35967

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 arises when QuantizedAdd is given min input or max input tensors of a nonzero rank, 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 and earlier, update to version 2.9.1 or later. For TensorFlow versions 2.8.1 and earlier, update to version 2.8.1 or later. For TensorFlow versions 2.7.2 and earlier, update to version 2.7.2 or later. As a temporary workaround, consider avoiding the use of QuantizedAdd with min input or max input tensors of a nonzero rank until a patch is available.

Exploit

Fix

RCE

Weakness Enumeration

CWE-20

Related Identifiers

BIT-TENSORFLOW-2022-35967

CVE-2022-35967

GHSA-V6H3-348G-6H5X

OPENSUSE-SU-2024:12355-1

Affected Products

Tensorflow

References · 10

• 🔥 https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/35xxx/CVE-2022-35967.json · Exploit
• https://github.com/tensorflow/tensorflow/commit/49b3824d83af706df0ad07e4e677d88659756d89 · Patch
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v6h3-348g-6h5x · Patch
• https://nvd.nist.gov/vuln/detail/CVE-2022-35967 · Security Note
• https://osv.dev/vulnerability/CVE-2022-35967 · Vendor Advisory
• https://osv.dev/vulnerability/BIT-tensorflow-2022-35967 · Vendor Advisory
• https://osv.dev/vulnerability/GHSA-v6h3-348g-6h5x · Vendor Advisory
• https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0 · Note
• https://github.com/tensorflow/tensorflow · Note
• https://t.me/cibsecurity/49999 · Telegram Post