Vulnerability Monitor

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CVE-2022-35981

TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. 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

2022-09-16T22:15:11.183

Last Modified

2024-11-21T07:12:06.360

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 5.9 (MEDIUM)

Weaknesses
  • Type: Primary
    CWE-617
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