PT-2022-23091 · Google · Tensorflow

刘力源 · Published 2022-09-16 · Updated 2024-03-06 · CVE-2022-35993

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 SetSize function receives an input set shape that is not a 1D tensor, resulting in a CHECK failure 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 SetSize function with non-1D tensor inputs until a patch is available.

Exploit

Fix

Assertion Failure

Weakness Enumeration

CWE-617

Related Identifiers

BIT-TENSORFLOW-2022-35993

CVE-2022-35993

GHSA-WQ6Q-6M32-9RV9

OPENSUSE-SU-2024:12355-1

Affected Products

Tensorflow

References · 9

• 🔥 https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/35xxx/CVE-2022-35993.json · Exploit
• https://github.com/tensorflow/tensorflow/commit/cf70b79d2662c0d3c6af74583641e345fc939467 · Patch
• https://osv.dev/vulnerability/BIT-tensorflow-2022-35993 · Vendor Advisory
• https://nvd.nist.gov/vuln/detail/CVE-2022-35993 · Security Note
• https://osv.dev/vulnerability/GHSA-wq6q-6m32-9rv9 · Vendor Advisory
• https://osv.dev/vulnerability/CVE-2022-35993 · Vendor Advisory
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wq6q-6m32-9rv9 · Note
• https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0 · Note
• https://github.com/tensorflow/tensorflow · Note