Improper resource allocation - Buffer overflow In tensorflow
Description
Overflow in FusedResizeAndPadConv2D
Impact
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)...
Patches
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.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Neophytos Christou from the Secure Systems Lab (SSL) at Brown University.
Mitigation
Update Impact
Minimal update. May introduce new vulnerabilities or breaking changes.
Ecosystem | Component | Affected version | Patched versions |
|---|---|---|---|
pypi | 2.7.4, 2.8.1, 2.9.1 | ||
pypi | 2.7.4, 2.8.1, 2.9.1 | ||
pypi | 2.7.4, 2.8.1, 2.9.1 |
Aliases
References