TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. 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/aca766ac7693bf29ed0df55ad6bfcc78f35e7f48 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-689c-r7h2-fv9v | Patch Third Party Advisory |
Configurations
Configuration 1 (hide)
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History
16 Sep 2022, 21:37
Type | Values Removed | Values Added |
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New CVE |
Information
Published : 2022-09-16 21:15
Updated : 2024-02-04 22:51
NVD link : CVE-2022-35973
Mitre link : CVE-2022-35973
CVE.ORG link : CVE-2022-35973
JSON object : View
Products Affected
- tensorflow
CWE