CVE-2022-23594
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.
How to fix
- tensorflow2.7.1 or later
- tensorflow-cpu2.7.1 or later
- tensorflow-gpu2.7.1 or later
Affected products
| Product | Affected versions | Fixed in |
|---|---|---|
| google tensorflow | 2.7.0 | — |
| tensorflowPyPI | 2.7.0 ≤ v < 2.7.1 | 2.7.1 |
| tensorflow-cpuPyPI | 2.7.0 ≤ v < 2.7.1 | 2.7.1 |
| tensorflow-gpuPyPI | 2.7.0 ≤ v < 2.7.1 | 2.7.1 |
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Attack Surface Management
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