Missing validation causes denial of service via `LSTMBlockCell`
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:
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.
Czego dotyczy
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| Platforma | Paczka | Podatne wersje | Poprawka w wersji |
|---|---|---|---|
| Python (PyPI) | tensorflow | < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1 | 2.6.4, 2.7.2, 2.8.1 |
| Python (PyPI) | tensorflow-cpu | < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1 | 2.6.4, 2.7.2, 2.8.1 |
| Python (PyPI) | tensorflow-gpu | < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1 | 2.6.4, 2.7.2, 2.8.1 |
Odnośniki
- 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
- 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://pypi.org/project/tensorflow
- https://github.com/advisories/GHSA-2vv3-56qg-g2cf
- https://pypi.org/project/tensorflow-cpu
- https://pypi.org/project/tensorflow-gpu
- Wektor CVSS
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H- Słabość (CWE)
CWE-1284, CWE-20- Platforma
- Python (PyPI)
- Paczka
tensorflow, tensorflow-cpu, tensorflow-gpu- Ujawniono
- 24.05.2022
- Aktualizacja
- 11.10.2026 14:18
Źródła i licencje
OSV / GitHub Advisory Database - PYSEC-2026-3089 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3267 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-2vv3-56qg-g2cf - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-944 - PyPA Advisory Database; CC BY 4.0
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