Vulnerabilities > CVE-2022-23594 - Out-of-bounds Write vulnerability in Google Tensorflow 2.7.0
Summary
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.
Vulnerable Configurations
Part | Description | Count |
---|---|---|
Application | 1 |
Common Weakness Enumeration (CWE)
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2
- https://github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/ir/importexport
- https://github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/ir/importexport