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  <id>https://cve.radiocsirt.org/rss/recent/all/10</id>
  <title>Most recent entries from all</title>
  <updated>2026-10-06T14:00:48.646945+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
  </author>
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  <subtitle>Contains only the most 10 recent entries.</subtitle>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/bit-tensorflow-2022-21725</id>
    <title>BIT-tensorflow-2022-21725 — Division by zero in Tensorflow</title>
    <updated>2026-10-06T14:00:48.774767+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> Bitnami: tensorflow</p>
<p>Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/bit-tensorflow-2022-21725"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/cnvd-2022-14993</id>
    <title>cnvd-2022-14993</title>
    <updated>2026-10-06T14:00:48.774821+00:00</updated>
    <content>cnvd-2022-14993</content>
    <link href="https://cve.radiocsirt.org/vuln/cnvd-2022-14993"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-237409</id>
    <title>EUVD-2026-237409</title>
    <updated>2026-10-06T14:00:48.774839+00:00</updated>
    <content>EUVD-2026-237409</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-237409"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2022-21725</id>
    <title>fkie_cve-2022-21725</title>
    <updated>2026-10-06T14:00:48.774851+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2022-21725"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-v3f7-j968-4h5f</id>
    <title>GHSA-v3f7-j968-4h5f — Division by zero in Tensorflow</title>
    <updated>2026-10-06T14:00:48.774874+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 [estimator for the cost of some convolution operations](https://github.com/tensorflow/tensorflow/blob/ffa202a17ab7a4a10182b746d230ea66f021fe16/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L189-L198) can be made to execute a division by 0:</p>
<p>```python
import tensorflow as tf</p>
<p>@tf.function
def test():
  y=tf.raw_ops.AvgPoolGrad(
    orig_input_shape=[1,1,1,1],
    grad=[[[[1.0],[1.0],[1.0]]],[[[2.0],[2.0],[2.0]]],[[[3.0],[3.0],[3.0]]]],
    ksize=[1,1,1,1],
    strides=[1,1,1,0],
    padding='VALID',
    data_format='NCHW')
  return y</p>
<p>test()
```</p>
<p>The function fails to check that the stride argument is stricly positive:</p>
<p>```cc
int64_t GetOutputSize(const int64_t input, const int64_t filter,
                      const int64_t stride, const Padding&amp; padding) {
  // Logic for calculating output shape is from GetWindowedOutputSizeVerbose() 
  // function in third_party/tensorflow/core/framework/common_shape_fns.cc.
  if (padding == Padding::VALID) {
    return (input - filter + stride) / stride;
  } else {  // SAME.
    return (input + stride - 1) / stride;
  }
} 
```</p>
<p>Hence, the fix is to add a check for the stride argument to ensure it is valid.</p>
<p>### Patches
We have patched the issue in GitHub commit [3218043d6d3a019756607643cf65574fbfef5d7a](https://github.com/tensorflow/tensorflow/commit/3218043d6d3a019756607643cf65574fbfef5d7a).</p>
<p>The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3…</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-v3f7-j968-4h5f"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/gsd-2022-21725</id>
    <title>gsd-2022-21725</title>
    <updated>2026-10-06T14:00:48.774927+00:00</updated>
    <content>gsd-2022-21725</content>
    <link href="https://cve.radiocsirt.org/vuln/gsd-2022-21725"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/opensuse-su-2024:12116-1</id>
    <title>openSUSE-SU-2024:12116-1 — tensorflow-lite-2.9.1-1.1 on GA media</title>
    <updated>2026-10-06T14:00:48.774940+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>tensorflow-lite-2.9.1-1.1 on GA media</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/opensuse-su-2024:12116-1"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/pysec-2022-104</id>
    <title>PYSEC-2022-104</title>
    <updated>2026-10-06T14:00:48.775039+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: tensorflow-gpu</p>
<p>Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2022-104"/>
  </entry>
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