PT-2026-59767 · Pypi · Tensorflow
Published
2026-07-13
·
Updated
2026-07-13
CVSS v3.1
5.9
Medium
| Vector | AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H |
Impact
If
FakeQuantWithMinMaxVars is given min or max tensors of a nonzero rank, it results in a CHECK fail that can be used to trigger a denial of service attack.python
import tensorflow as tf
num bits = 8
narrow range = False
inputs = tf.constant(0, shape=[2,3], dtype=tf.float32)
min = tf.constant(0, shape=[2,3], dtype=tf.float32)
max = tf.constant(0, shape=[2,3], dtype=tf.float32)
tf.raw ops.FakeQuantWithMinMaxVars(inputs=inputs, min=min, max=max, num bits=num bits, narrow range=narrow range)Patches
We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0.
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.
For more information
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Attribution
This vulnerability has been reported by:
- Neophytos Christou, Secure Systems Labs, Brown University.
- 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology
Fix
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Related Identifiers
Affected Products
Tensorflow