Headline
CVE-2022-41880: ThreadUnsafeUnigramCandidateSampler Heap OOB
TensorFlow is an open source platform for machine learning. When the BaseCandidateSamplerOp function receives a value in true_classes larger than range_max, a heap oob read occurs. We have patched the issue in GitHub 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.
Impact
When the BaseCandidateSamplerOp function receives a value in true_classes larger than range_max, a heap oob vuln occurs.
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.
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 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.
Related news
### 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 m...