Vulnerability Monitor

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CVE-2022-35966

TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622. 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

2022-09-16T21:15:09.033

Last Modified

2024-11-21T07:12:04.203

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