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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/ir/importexport | Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2 | Third Party Advisory |
Configurations
Information
Published : 2022-02-04 15:15
Updated : 2022-02-10 10:15
NVD link : CVE-2022-23594
Mitre link : CVE-2022-23594
JSON object : View
Products Affected
- tensorflow