CVE-2022-29202: Denial of service in TensorFlow due to lack of validation in `tf.ragged.constant`
First published: Fri May 20 2022(Updated: )
### Impact The implementation of [`tf.ragged.constant`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/ops/ragged/ragged_factory_ops.py#L146-L239) does not fully validate the input arguments. This results in a denial of service by consuming all available memory: ```python import tensorflow as tf tf.ragged.constant(pylist=[],ragged_rank=8968073515812833920) ``` ### Patches We have patched the issue in GitHub commit [bd4d5583ff9c8df26d47a23e508208844297310e](https://github.com/tensorflow/tensorflow/commit/bd4d5583ff9c8df26d47a23e508208844297310e). The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 externally via a [GitHub issue](https://github.com/tensorflow/tensorflow/issues/55199).
Credit: security-advisories@github.com security-advisories@github.com security-advisories@github.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| pip/tensorflow-gpu | >=2.8.0<2.8.1 | 2.8.1 |
| pip/tensorflow-gpu | >=2.7.0<2.7.2 | 2.7.2 |
| pip/tensorflow-gpu | <2.6.4 | 2.6.4 |
| pip/tensorflow-cpu | >=2.8.0<2.8.1 | 2.8.1 |
| pip/tensorflow-cpu | >=2.7.0<2.7.2 | 2.7.2 |
| pip/tensorflow-cpu | <2.6.4 | 2.6.4 |
| pip/tensorflow | >=2.8.0<2.8.1 | 2.8.1 |
| pip/tensorflow | >=2.7.0<2.7.2 | 2.7.2 |
| pip/tensorflow | <2.6.4 | 2.6.4 |
| TensorFlow Keras | <2.6.4 | |
| TensorFlow Keras | >=2.7.0<2.7.2 | |
| TensorFlow Keras | =2.7.0-rc0 | |
| TensorFlow Keras | =2.7.0-rc1 | |
| TensorFlow Keras | =2.8.0 | |
| TensorFlow Keras | =2.8.0-rc0 | |
| TensorFlow Keras | =2.8.0-rc1 | |
| TensorFlow Keras | =2.9.0-rc0 | |
| TensorFlow Keras | =2.9.0-rc1 |
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Reference Links
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/ops/ragged/ragged_factory_ops.py#L146-L239
- https://github.com/tensorflow/tensorflow/commit/bd4d5583ff9c8df26d47a23e508208844297310e
- https://github.com/tensorflow/tensorflow/issues/55199
- https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4
- https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2
- https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1
- https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cwpm-f78v-7m5c
Frequently Asked Questions
What is the severity of CVE-2022-29202?
The CVE-2022-29202 vulnerability is classified as a denial of service issue.
How do I fix CVE-2022-29202?
To address CVE-2022-29202, update TensorFlow to a version later than 2.9.0.
Which TensorFlow versions are affected by CVE-2022-29202?
CVE-2022-29202 affects TensorFlow versions up to 2.9.0 inclusive.
What type of issue is CVE-2022-29202?
CVE-2022-29202 is a denial of service vulnerability resulting from inadequate input validation.
Is CVE-2022-29202 related to input validation?
Yes, CVE-2022-29202 is related to insufficient input validation in the implementation of tf.ragged.constant.
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