Upstream information

CVE-2022-21727 at MITRE

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

SUSE information

Overall state of this security issue: Does not affect SUSE products

This issue is currently rated as having critical severity.

CVSS v2 Scores
  National Vulnerability Database
Base Score 6.5
Vector AV:N/AC:L/Au:S/C:P/I:P/A:P
Access Vector Network
Access Complexity Low
Authentication Single
Confidentiality Impact Partial
Integrity Impact Partial
Availability Impact Partial
CVSS v3 Scores
  National Vulnerability Database
Base Score 8.8
Vector CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attack Vector Network
Attack Complexity Low
Privileges Required Low
User Interaction None
Scope Unchanged
Confidentiality Impact High
Integrity Impact High
Availability Impact High
CVSSv3 Version 3.1
SUSE Bugzilla entry: 1195545 [IN_PROGRESS]

No SUSE Security Announcements cross referenced.

List of released packages

Product(s) Fixed package version(s) References
openSUSE Tumbleweed
  • tensorflow-lite >= 2.9.1-1.1
  • tensorflow-lite-devel >= 2.9.1-1.1
 Patchnames:
openSUSE-Tumbleweed-2024-12116

SUSE Timeline for this CVE

CVE page created: Fri Feb 4 10:30:25 2022
CVE page last modified: Tue Sep 3 19:24:58 2024