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GHSA-8w5g-3wcv-9g2j

Tensorflow vulnerable to Out-of-Bounds Read

Source: GitHub Advisory Database (reviewed) Moderate CVE-2022-41880

Packages

EcosystemPackageAffectedFixed in
PyPI tensorflow >= 2.10.0, < 2.10.1 2.10.1
PyPI tensorflow-cpu >= 2.10.0, < 2.10.1 2.10.1
PyPI tensorflow-gpu >= 2.10.0, < 2.10.1 2.10.1
PyPI tensorflow < 2.8.4 2.8.4
PyPI tensorflow-cpu < 2.8.4 2.8.4
PyPI tensorflow-gpu < 2.8.4 2.8.4
PyPI tensorflow >= 2.9.0, < 2.9.3 2.9.3
PyPI tensorflow-cpu >= 2.9.0, < 2.9.3 2.9.3
PyPI tensorflow-gpu >= 2.9.0, < 2.9.3 2.9.3

Details

As written in the advisory (Markdown source, shown as plain text).

### Impact When the [`BaseCandidateSamplerOp`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/candidate_sampler_ops.cc) function receives a value in `true_classes` larger than `range_max`, a heap oob vuln occurs. ```python tf.raw_ops.ThreadUnsafeUnigramCandidateSampler( true_classes=[[0x100000,1]], num_true = 2, num_sampled = 2, unique = False, range_max = 2, seed = 2, seed2 = 2) ``` ### Patches We have patched the issue in GitHub commit [b389f5c944cadfdfe599b3f1e4026e036f30d2d4](https://github.com/tensorflow/tensorflow/commit/b389f5c944cadfdfe599b3f1e4026e036f30d2d4). The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. ### 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. ### Attribution This vulnerability has been reported by Yu Tian of Qihoo 360 AIVul Team.

References

External links from the advisory. They lead to third-party sites.