CVE-2022-35973
unknown
CVSS v3
—
CVSS v2
—
VIR risk
—
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.
Predictions
Exploit likelihood
30%
Patch ETA
—
Heuristic predictions, AS-IS, for prioritization only.
Mitigations
Vendor advisory: debian — https://security-tracker.debian.org/tracker/CVE-2022-35973
OS impact
| OS | Version | Status | Fixed in |
|---|---|---|---|
| debian | forky | fixed | 0 |
| debian | sid | fixed | 0 |
Package impact
| Ecosystem | Package | Vulnerable | Fixed |
|---|---|---|---|
| PyPI | tensorflow | >=2.8.0,<2.8.1 | 2.8.1 |
| PyPI | tensorflow | >=2.9.0,<2.9.1 | 2.9.1 |
| PyPI | tensorflow-cpu | <2.7.2 | 2.7.2 |
| PyPI | tensorflow-cpu | >=2.8.0,<2.8.1 | 2.8.1 |
| PyPI | tensorflow-cpu | >=2.9.0,<2.9.1 | 2.9.1 |
| PyPI | tensorflow-gpu | <2.7.2 | 2.7.2 |
| PyPI | tensorflow-gpu | >=2.8.0,<2.8.1 | 2.8.1 |
| PyPI | tensorflow-gpu | >=2.9.0,<2.9.1 | 2.9.1 |
| PyPI | tensorflow | <2.7.2 | 2.7.2 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-689c-r7h2-fv9v
- https://nvd.nist.gov/vuln/detail/CVE-2022-35973
- https://github.com/tensorflow/tensorflow/commit/aca766ac7693bf29ed0df55ad6bfcc78f35e7f48
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
- https://security-tracker.debian.org/tracker/CVE-2022-35973
Verify integrity in audit chain (admin only). AS-IS.