CVE-2022-21739
Last modified
CVE-2022-21739 is a medium-severity vulnerability rated 6.5/10 on the CVSS scale. Tensorflow is an Open Source Machine Learning Framework. The implementation of `QuantizedMaxPool` has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. EPSS estimates a 0.78% chance of exploitation in the next 30 days.
Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of `QuantizedMaxPool` has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Metrics
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | <= 2.5.2 | |
| Tensorflow | >= 2.6.0, <= 2.6.2 | |
| Tensorflow | 2.7.0 |
References
- https://github.com/tensorflow/tensorflow/commit/53b0dd6dc5957652f35964af16b892ec9af4a559Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3mw4-6rj6-74g5Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/53b0dd6dc5957652f35964af16b892ec9af4a559Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3mw4-6rj6-74g5Patch, Third Party Advisory
Timeline
- Published
- Last Modified
- Status
- Modified
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