GitHub Advisoryadvisory · PyPI
GHSA-2vv3-56qg-g2cf Missing validation causes denial of service via `LSTMBlockCell`
MEDIUM
Official page ↗
- Aliases
- CVE-2022-29200
- Ecosystem
- PyPI
- Packages
- tensorflow, tensorflow-cpu, tensorflow-gpu
- Severity
- Moderate
- CVSS vector
- CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- Weaknesses
- CWE-1284, CWE-20
- Reviewed
- 2022-05-24
Affected packages
• PyPI tensorflow: < 2.6.4 → fixed in 2.6.4
• PyPI tensorflow: >= 2.7.0, < 2.7.2 → fixed in 2.7.2
• PyPI tensorflow: >= 2.8.0, < 2.8.1 → fixed in 2.8.1
• PyPI tensorflow-cpu: < 2.6.4 → fixed in 2.6.4
• PyPI tensorflow-cpu: >= 2.7.0, < 2.7.2 → fixed in 2.7.2
• PyPI tensorflow-cpu: >= 2.8.0, < 2.8.1 → fixed in 2.8.1
• PyPI tensorflow-gpu: < 2.6.4 → fixed in 2.6.4
• PyPI tensorflow-gpu: >= 2.7.0, < 2.7.2 → fixed in 2.7.2
• PyPI tensorflow-gpu: >= 2.8.0, < 2.8.1 → fixed in 2.8.1
Description
Impact
The implementation of `tf.raw_ops.LSTMBlockCell` 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.
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 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.
Related
Alias · CVE (1)
- CVE-2022-29200 TensorFlow is an open source platform for machine learning. vulnerability
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2vv3-56qg-g2cf web
- https://nvd.nist.gov/vuln/detail/CVE-2022-29200 advisory
- https://github.com/tensorflow/tensorflow/commit/803404044ae7a1efac48ba82d74111fce1ddb09a web
- https://github.com/tensorflow/tensorflow package
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/rnn/lstm_ops.cc web
- https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 web
- https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 web
- https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 web
- https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 web