Vulnerability Monitor

The vendors, products, and vulnerabilities you care about

CVE-2022-35974

TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Published

2022-09-16T21:15:09.550

Last Modified

2024-11-21T07:12:05.363

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 5.9 (MEDIUM)

Weaknesses
  • Type: Secondary
    CWE-20
  • Type: Primary
    NVD-CWE-noinfo
Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application google tensorflow < 2.7.2 Yes
Application google tensorflow < 2.8.1 Yes
Application google tensorflow < 2.9.1 Yes
Application google tensorflow 2.10 Yes
Application google tensorflow 2.10 Yes
Application google tensorflow 2.10 Yes
Application google tensorflow 2.10 Yes
References