Lack of data validation In tensorflow-cpu
Description
TensorFlow has Segfault in Bincount with XLA
Impact
When running with XLA, tf.raw_ops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor.
import tensorflow as tf func = tf.raw_ops.Bincount para={'arr': 6, 'size': 804, 'weights': [52, 351]} @tf.function(jit_compile=True) def fuzz_jit(): y = func(**para)...
Patches
We have patched the issue in GitHub commit 8ae76cf085f4be26295d2ecf2081e759e04b8acf.
The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.
For more information
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Attribution
This vulnerability has been reported by r3pwnx of 360 AIVul Team
Mitigation
Update Impact
Minimal update. May introduce new vulnerabilities or breaking changes.
Ecosystem | Component | Affected version | Patched versions |
|---|---|---|---|
pypi | 2.11.1 | ||
pypi | 2.11.1 | ||
pypi | 2.11.1 |
Aliases
References