CVE-2022-23594
Out of bounds read in Tensorflow
Impact
### Impact The [TFG dialect of TensorFlow (MLIR)](https://github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/ir/importexport) 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. ### Patches We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | tensorflow | = 2.7.0 | 2.7.1 |
| pip | tensorflow-cpu | = 2.7.0 | 2.7.1 |
| pip | tensorflow-gpu | = 2.7.0 | 2.7.1 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Tensorflow | Version 2.7.0 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- 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/advisories/GHSA-9x52-887g-fhc2
- https://nvd.nist.gov/vuln/detail/CVE-2022-23594