Incomplete validation in `SparseReshape`
Low3.6CVE-2021-29611 · Published May 21, 2021 · updated Jul 8, 2026
### Impact Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. ```python import tensorflow as tf input_indices = tf.constant(41, shape=[1, 1], dtype=tf.int64) input_shape = tf.zeros([11], dtype=tf.int64) new_shape = tf.zeros([1], dtype=tf.int64) tf.raw_ops.SparseReshape(input_indices=input_indices, input_shape=input_shape, new_shape=new_shape) ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. ### Patches We have patched the issue in GitHub commit [1d04d7d93f4ed3854abf75d6b712d72c3f70d6b6](https://github.com/tensorflow/tensorflow/commit/1d04d7d93f4ed3854abf75d6b712d72c3f70d6b6). The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are the only affected versions. ### 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 wi...
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| tensorflow PyPI | >= 2.3.0, < 2.3.3 | 2.3.3 |
| >= 2.4.0, < 2.4.2 | 2.4.2 |
Details and references
### Impact Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. ```python import tensorflow as tf input_indices = tf.constant(41, shape=[1, 1], dtype=tf.int64) input_shape = tf.zeros([11], dtype=tf.int64) new_shape = tf.zeros([1], dtype=tf.int64) tf.raw_ops.SparseReshape(input_indices=input_indices, input_shape=input_shape, new_shape=new_shape) ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. ### Patches We have patched the issue in GitHub commit [1d04d7d93f4ed3854abf75d6b712d72c3f70d6b6](https://github.com/tensorflow/tensorflow/commit/1d04d7d93f4ed3854abf75d6b712d72c3f70d6b6). The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are the only affected versions. ### 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 Ying Wang and Yakun Zhang of Baidu X-Team.
- CVSS 3.1
- CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-20, CWE-665
- Also known as
- BIT-tensorflow-2021-29611, CVE-2021-29611, PYSEC-2021-248, PYSEC-2021-539, PYSEC-2021-737
- github.com/tensorflow/tensorflow/security/advisories/GHSA-9rpc-5v9q-5r7f
- nvd.nist.gov/vuln/detail/CVE-2021-29611
- github.com/tensorflow/tensorflow/commit/1d04d7d93f4ed3854abf75d6b712d72c3f70d6b6
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-539.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-737.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-248.yaml
- github.com/tensorflow/tensorflow
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