Out of bounds read in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
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describes (1)
Related CVEs.
| ID | severity | exploitable | ||
|---|---|---|---|---|
| CVE-2022-21730US | high8.1 | — | ||
Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attac… | ||||
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references
External citations — patches, advisories, analysis.
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_avg_pool_op.cc#L209-L360ADVISORY
- https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9ADVISORY
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4ADVISORY
- https://nvd.nist.gov/vuln/detail/CVE-2022-21730WEB
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