CVE-2022-35973
Last modified
CVE-2022-35973 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. 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. EPSS estimates a 0.40% chance of exploitation in the next 30 days.
Description
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.
Metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weakness Enumeration
Affected Software
| Vendor | Product | Versions | Update |
|---|---|---|---|
| Tensorflow | >= 2.7.0, < 2.7.2 | — | |
| Tensorflow | >= 2.8.0, < 2.8.1 | — | |
| Tensorflow | >= 2.9.0, < 2.9.1 | — | |
| Tensorflow | 2.10 | Rc0 |
References
- https://github.com/tensorflow/tensorflow/commit/aca766ac7693bf29ed0df55ad6bfcc78f35e7f48Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-689c-r7h2-fv9vPatch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/aca766ac7693bf29ed0df55ad6bfcc78f35e7f48Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-689c-r7h2-fv9vPatch, Third Party Advisory
Timeline
- Published
- Last Modified
- Status
- Modified
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