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  <updated>2026-10-15T22:51:28.229534+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
  </author>
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  <entry>
    <id>https://cve.radiocsirt.org/vuln/cve-2022-29200</id>
    <title>CVE-2022-29200 — Missing validation causes denial of service in TensorFlow via `LSTMBlockCell`</title>
    <updated>2026-10-15T22:51:28.289824+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> tensorflow</p>
<p>TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, 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. 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. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/cve-2022-29200"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/pysec-2026-3089</id>
    <title>PYSEC-2026-3089 — Missing validation causes denial of service via `LSTMBlockCell`</title>
    <updated>2026-10-15T22:51:28.289886+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: tensorflow</p>
<p>### 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:</p>
<p>```python
import tensorflow as tf</p>
<p>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.</p>
<p>### For more infor…</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2026-3089"/>
  </entry>
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