| パッケージ | 影響を受けるバージョン | 修正済みバージョン |
|---|---|---|
| tensorflow | ≥ 2.10.0, < 2.10.1≥ 2.9.0, < 2.9.3< 2.8.4 | 2.10.12.9.32.8.4 |
| tensorflow-cpu | ≥ 2.10.0, < 2.10.1≥ 2.9.0, < 2.9.3< 2.8.4 | 2.10.12.9.32.8.4 |
| tensorflow-gpu | ≥ 2.10.0, < 2.10.1≥ 2.9.0, < 2.9.3< 2.8.4 | 2.10.12.9.32.8.4 |
| tensorflow | ≥ 2.10.0, < 2.10.1≥ 2.9.0, < 2.9.3< 2.8.4 | 2.10.12.9.32.8.4 |
If MirrorPadGrad is given outsize input paddings, TensorFlow will give a heap OOB error.
import tensorflow as tf
tf.raw_ops.MirrorPadGrad(input=[1],
paddings=[[0x77f00000,0xa000000]],
mode = 'REFLECT')
We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92.
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.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by Vul AI.
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