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.
References
Link | Resource |
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https://github.com/tensorflow/tensorflow/commit/73ad1815ebcfeb7c051f9c2f7ab5024380ca8613 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vgvh-2pf4-jr2x | 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-2022-35974
Mitre link : CVE-2022-35974
CVE.ORG link : CVE-2022-35974
JSON object : View
Products Affected
- tensorflow
CWE