CVE-2022-29200: Missing validation causes denial of service in TensorFlow via `LSTMBlockCell`
First published: Fri May 20 2022(Updated: )
### Impact The implementation of [`tf.raw_ops.LSTMBlockCell`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/rnn/lstm_ops.cc) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack: ```python import tensorflow as tf tf.raw_ops.LSTMBlockCell( x=tf.constant(0.837607, shape=[28,29], dtype=tf.float32), cs_prev=tf.constant(0, shape=[28,17], dtype=tf.float32), h_prev=tf.constant(0.592631638, shape=[28,17], dtype=tf.float32), w=tf.constant(0.887386262, shape=[46,68], dtype=tf.float32), wci=tf.constant(0, shape=[], dtype=tf.float32), wcf=tf.constant(0, shape=[17], dtype=tf.float32), wco=tf.constant(0.592631638, shape=[28,17], dtype=tf.float32), b=tf.constant(0.75259006, shape=[68], dtype=tf.float32), forget_bias=1, cell_clip=0, use_peephole=False) ``` The code does not validate the ranks of any of the arguments to this API call. This results in `CHECK`-failures when the elements of the tensor are accessed. ### Patches We have patched the issue in GitHub commit [803404044ae7a1efac48ba82d74111fce1ddb09a](https://github.com/tensorflow/tensorflow/commit/803404044ae7a1efac48ba82d74111fce1ddb09a). 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 by Neophytos Christou from Secure Systems Lab at Brown University.
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 |
| Google TensorFlow | <2.6.4 | |
| Google TensorFlow | >=2.7.0<2.7.2 | |
| Google TensorFlow | =2.7.0-rc0 | |
| Google TensorFlow | =2.7.0-rc1 | |
| Google TensorFlow | =2.8.0 | |
| Google TensorFlow | =2.8.0-rc0 | |
| Google TensorFlow | =2.8.0-rc1 | |
| Google TensorFlow | =2.9.0-rc0 | |
| Google TensorFlow | =2.9.0-rc1 |
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Reference Links
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2vv3-56qg-g2cf
- https://nvd.nist.gov/vuln/detail/CVE-2022-29200
- https://github.com/tensorflow/tensorflow/commit/803404044ae7a1efac48ba82d74111fce1ddb09a
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/rnn/lstm_ops.cc
- 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/advisories/GHSA-2vv3-56qg-g2cf (Advisory)
Frequently Asked Questions
What is the severity of CVE-2022-29200?
CVE-2022-29200 has a severity rating that can lead to a potential denial of service condition due to input argument validation issues.
How do I fix CVE-2022-29200?
To fix CVE-2022-29200, upgrade TensorFlow to version 2.8.1, 2.7.2, or 2.6.4 depending on your current version.
Which versions of TensorFlow are affected by CVE-2022-29200?
CVE-2022-29200 affects TensorFlow versions prior to 2.6.4, and from 2.7.0 up to 2.8.0.
What impact does CVE-2022-29200 have on applications using TensorFlow?
CVE-2022-29200 can cause applications to experience unexpected crashes or denial of service due to unchecked input parameters.
Is CVE-2022-29200 related to LSTM operations in TensorFlow?
Yes, CVE-2022-29200 specifically involves the LSTMBlockCell implementation in TensorFlow, which does not fully validate input arguments.
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