TensorFlow is an open source platform for machine learning. If `QuantizedRelu` or `QuantizedRelu6` are given nonscalar inputs for `min_features` or `max_features`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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.
References
Link | Resource |
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https://github.com/tensorflow/tensorflow/commit/49b3824d83af706df0ad07e4e677d88659756d89 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v7vw-577f-vp8x | Third Party Advisory |
Configurations
Configuration 1 (hide)
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History
16 Sep 2022, 22:15
Type | Values Removed | Values Added |
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New CVE |
Information
Published : 2022-09-16 22:15
Updated : 2024-02-04 22:51
NVD link : CVE-2022-35979
Mitre link : CVE-2022-35979
CVE.ORG link : CVE-2022-35979
JSON object : View
Products Affected
- tensorflow
CWE