PT-2022-23058 · Google · Tensorflow

Neophytos Christou · Published 2022-09-16 · Updated 2024-03-06 · CVE-2022-35959

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 implementation of AvgPool3DGradOp does not fully validate the input orig input shape, resulting in an overflow that causes a CHECK failure, which can be used to trigger a denial of service attack.

Recommendations For TensorFlow versions prior to 2.10.0, update to TensorFlow 2.10.0 or later. For TensorFlow versions 2.9.1 and earlier, update to TensorFlow 2.9.1 or later. For TensorFlow versions 2.8.1 and earlier, update to TensorFlow 2.8.1 or later. For TensorFlow versions 2.7.2 and earlier, update to TensorFlow 2.7.2 or later. As a temporary workaround, consider disabling the AvgPool3DGradOp function until a patch is available.

Exploit

Fix

Assertion Failure

Weakness Enumeration

CWE-617

Related Identifiers

BIT-TENSORFLOW-2022-35959

CVE-2022-35959

GHSA-WXJJ-CGCX-R3VQ

OPENSUSE-SU-2024:12355-1

Affected Products

Tensorflow

References · 10

• 🔥 https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/35xxx/CVE-2022-35959.json · Exploit
• https://github.com/tensorflow/tensorflow/commit/9178ac9d6389bdc54638ab913ea0e419234d14eb · Patch
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wxjj-cgcx-r3vq · Patch
• https://osv.dev/vulnerability/CVE-2022-35959 · Vendor Advisory
• https://osv.dev/vulnerability/BIT-tensorflow-2022-35959 · Vendor Advisory
• https://nvd.nist.gov/vuln/detail/CVE-2022-35959 · Security Note
• https://osv.dev/vulnerability/GHSA-wxjj-cgcx-r3vq · Vendor Advisory
• https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0 · Note
• https://github.com/tensorflow/tensorflow · Note
• https://t.me/cibsecurity/49985 · Telegram Post