PT-2022-23080 · Google · Tensorflow

Di Jin · Published 2022-09-16 · Updated 2024-03-06 · CVE-2022-35982

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 SparseBincount is given inputs for indices, values, and dense shape that do not make a valid sparse tensor, resulting in a segfault that can be used to trigger a denial of service attack.

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 SparseBincount with invalid sparse tensor inputs until a patch is available.

Exploit

Fix

RCE

Weakness Enumeration

CWE-20

Related Identifiers

BIT-TENSORFLOW-2022-35982

CVE-2022-35982

GHSA-397C-5G2J-QXPV

OPENSUSE-SU-2024:12355-1

Affected Products

Tensorflow

References · 9

• 🔥 https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/35xxx/CVE-2022-35982.json · Exploit
• https://github.com/tensorflow/tensorflow/commit/40adbe4dd15b582b0210dfbf40c243a62f5119fa · Patch
• https://nvd.nist.gov/vuln/detail/CVE-2022-35982 · Security Note
• https://osv.dev/vulnerability/BIT-tensorflow-2022-35982 · Vendor Advisory
• https://osv.dev/vulnerability/GHSA-397c-5g2j-qxpv · Vendor Advisory
• https://osv.dev/vulnerability/CVE-2022-35982 · Vendor Advisory
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-397c-5g2j-qxpv · Note
• https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0 · Note
• https://github.com/tensorflow/tensorflow · Note