CVE-2022-35974
Last modified
CVE-2022-35974 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. 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. EPSS estimates a 0.40% chance of exploitation in the next 30 days.
Description
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.
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/73ad1815ebcfeb7c051f9c2f7ab5024380ca8613Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vgvh-2pf4-jr2xPatch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/73ad1815ebcfeb7c051f9c2f7ab5024380ca8613Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vgvh-2pf4-jr2xPatch, Third Party Advisory
Timeline
- Published
- Last Modified
- Status
- Modified
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