TensorFlow is an open source platform for machine learning. If `QuantizeAndDequantizeV3` is given a nonscalar `num_bits` input tensor, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713. 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 |
---|---|
https://github.com/tensorflow/tensorflow/commit/f3f9cb38ecfe5a8a703f2c4a8fead434ef291713 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9cr2-8pwr-fhfq | Third Party Advisory |
Configurations
Configuration 1 (hide)
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Information
Published : 2022-09-16 15:15
Updated : 2022-09-20 07:55
NVD link : CVE-2022-36026
Mitre link : CVE-2022-36026
JSON object : View
CWE
CWE-617
Reachable Assertion
Products Affected
- tensorflow