PT-2022-23077 · Google · Tensorflow

Neophytos Christou · Published 2022-09-16 · Updated 2024-03-06 · CVE-2022-35979

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 results in a segfault that can be used to trigger a denial of service attack when QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for min features or max features.

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 nonscalar inputs for min features or max features in QuantizedRelu or QuantizedRelu6 until a patch is available.

Exploit

Fix

RCE

Weakness Enumeration

CWE-20

Related Identifiers

BIT-TENSORFLOW-2022-35979

CVE-2022-35979

GHSA-V7VW-577F-VP8X

OPENSUSE-SU-2024:12355-1

Affected Products

Tensorflow

References · 9

• 🔥 https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/35xxx/CVE-2022-35979.json · Exploit
• https://github.com/tensorflow/tensorflow/commit/49b3824d83af706df0ad07e4e677d88659756d89 · Patch
• https://osv.dev/vulnerability/CVE-2022-35979 · Vendor Advisory
• https://nvd.nist.gov/vuln/detail/CVE-2022-35979 · Security Note
• https://osv.dev/vulnerability/GHSA-v7vw-577f-vp8x · Vendor Advisory
• https://osv.dev/vulnerability/BIT-tensorflow-2022-35979 · Vendor Advisory
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v7vw-577f-vp8x · Note
• https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0 · Note
• https://github.com/tensorflow/tensorflow · Note