Tensorflow vulnerable to Out-of-Bounds Read

Medium6.8CVE-2022-41880 · Published Nov 22, 2022 · updated Jul 13, 2026

### 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.