High severityNVD Advisory· Published Feb 4, 2022· Updated Apr 23, 2025
Out of bounds read in Tensorflow
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.
Affected packages
Versions sourced from the GitHub Security Advisory.
| Package | Affected versions | Patched versions |
|---|---|---|
tensorflowPyPI | >= 2.7.0, < 2.7.1 | 2.7.1 |
tensorflow-cpuPyPI | >= 2.7.0, < 2.7.1 | 2.7.1 |
tensorflow-gpuPyPI | >= 2.7.0, < 2.7.1 | 2.7.1 |
Affected products
1- Range: >= 2.7.0, < 2.8.0
Patches
0No patches discovered yet.
Vulnerability mechanics
AI mechanics synthesis has not run for this CVE yet.
References
4- github.com/advisories/GHSA-9x52-887g-fhc2ghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2022-23594ghsaADVISORY
- github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2ghsax_refsource_CONFIRMWEB
- github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/ir/importexportghsax_refsource_MISCWEB
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