CVE-2022-23594
Last modified
CVE-2022-23594 is a medium-severity vulnerability rated 5.5/10 on the CVSS scale. Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. EPSS estimates a 0.14% chance of exploitation in the next 30 days.
Description
Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.
Metrics
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | 2.7.0 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2Third Party Advisory
Timeline
- Published
- Last Modified
- Status
- Modified
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