CVE-2022-41895Medium· 4.8▾ Sunlit`MirrorPadGrad` heap out of bounds read
▾ Sunlit zone — Low / medium · no exploitation signal
impact 26.4 · likelihood 0.1 · exploitation 0
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Exploit-prediction probability, daily snapshots since Jul 8.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via OSV
Last analysed / modified upstream
0.4%
0.4% → 0.5%
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.
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This vulnerability has been reported by Vul AI.
tensorflow < 2.8.4tensorflow >= 2.9.0, < 2.9.3tensorflow >= 2.10.0, < 2.10.1tensorflow-cpu < 2.8.4tensorflow-gpu < 2.8.4tensorflow-cpu >= 2.9.0, < 2.9.3tensorflow-gpu >= 2.9.0, < 2.9.3tensorflow-cpu >= 2.10.0, < 2.10.1tensorflow-gpu >= 2.10.0, < 2.10.1Upgrade to a patched release:
tensorflow 2.8.4tensorflow 2.9.3tensorflow 2.10.1tensorflow-cpu 2.8.4tensorflow-gpu 2.8.4tensorflow-cpu 2.9.3tensorflow-gpu 2.9.3tensorflow-cpu 2.10.1tensorflow-gpu 2.10.1Connected by shared product, vendor, weakness, or advisory.
CVE-2022-41896Medium· 4.8`tf.raw_ops.Mfcc` crashes
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