CVE-2022-35941Medium· 5.9▾ SunlitTensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
▾ Sunlit zone — Low / medium · no exploitation signal
impact 32.5 · 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
0.6%
0.6% → 0.7%
The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program.
import tensorflow as tf
import numpy as np
value = np.ones([1, 1, 1, 1])
ksize = [1, 1e20, 1, 1]
strides = [1, 1, 1, 1]
padding = 'SAME'
data_format = 'NHWC'
tf.raw_ops.AvgPool(value=value, ksize=ksize, strides=strides, padding=padding, data_format=data_format)
We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f.
The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.
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This vulnerability has been reported by Jingyi Shi.
tensorflow < 2.7.2tensorflow >= 2.8.0, < 2.8.1tensorflow >= 2.9.0, < 2.9.2tensorflow-cpu < 2.7.2tensorflow-cpu >= 2.8.0, < 2.8.1tensorflow-cpu >= 2.9.0, < 2.9.2tensorflow-gpu < 2.7.2tensorflow-gpu >= 2.8.0, < 2.8.1tensorflow-gpu >= 2.9.0, < 2.9.2Upgrade to a patched release:
tensorflow 2.7.2tensorflow 2.8.1tensorflow 2.9.2tensorflow-cpu 2.7.2tensorflow-cpu 2.8.1tensorflow-cpu 2.9.2tensorflow-gpu 2.7.2tensorflow-gpu 2.8.1tensorflow-gpu 2.9.2Connected by shared product, vendor, weakness, or advisory.
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