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  <title>Most recent entries from all</title>
  <updated>2026-10-06T05:51:22.281805+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-2021-37636</id>
    <title>BIT-tensorflow-2021-37636 — Floating point exception in `SparseDenseCwiseDiv` in TensorFlow</title>
    <updated>2026-10-06T05:51:22.296248+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 end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.SparseDenseCwiseDiv` is vulnerable to a division by 0 error. The [implementation](https://github.com/tensorflow/tensorflow/blob/a1bc56203f21a5a4995311825ffaba7a670d7747/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L56) uses a common class for all binary operations but fails to treat the division by 0 case separately. We have patched the issue in GitHub commit d9204be9f49520cdaaeb2541d1dc5187b23f31d9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-37636"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/cnvd-2021-64070</id>
    <title>cnvd-2021-64070</title>
    <updated>2026-10-06T05:51:22.296307+00:00</updated>
    <content>cnvd-2021-64070</content>
    <link href="https://cve.radiocsirt.org/vuln/cnvd-2021-64070"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-29888</id>
    <title>EUVD-2026-29888</title>
    <updated>2026-10-06T05:51:22.296325+00:00</updated>
    <content>EUVD-2026-29888</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-29888"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2021-37636</id>
    <title>fkie_cve-2021-37636</title>
    <updated>2026-10-06T05:51:22.296336+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.SparseDenseCwiseDiv` is vulnerable to a division by 0 error. The [implementation](https://github.com/tensorflow/tensorflow/blob/a1bc56203f21a5a4995311825ffaba7a670d7747/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L56) uses a common class for all binary operations but fails to treat the division by 0 case separately. We have patched the issue in GitHub commit d9204be9f49520cdaaeb2541d1dc5187b23f31d9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2021-37636"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-hp4c-x6r7-6555</id>
    <title>GHSA-hp4c-x6r7-6555 — Floating point exception in `SparseDenseCwiseDiv`</title>
    <updated>2026-10-06T05:51:22.296360+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 `tf.raw_ops.SparseDenseCwiseDiv` is vulnerable to a division by 0 error:</p>
<p>```python
import tensorflow as tf
import numpy as np</p>
<p>tf.raw_ops.SparseDenseCwiseDiv( 
  sp_indices=np.array([[4]]),
  sp_values=np.array([-400]),
  sp_shape=np.array([647.]),
  dense=np.array([0]))
```</p>
<p>The [implementation](https://github.com/tensorflow/tensorflow/blob/a1bc56203f21a5a4995311825ffaba7a670d7747/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L56) uses a common class for all binary operations but fails to treat the division by 0 case separately.</p>
<p>### Patches
We have patched the issue in GitHub commit [d9204be9f49520cdaaeb2541d1dc5187b23f31d9](https://github.com/tensorflow/tensorflow/commit/d9204be9f49520cdaaeb2541d1dc5187b23f31d9).</p>
<p>The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 members of the Aivul Team from Qihoo 360.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-hp4c-x6r7-6555"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/gsd-2021-37636</id>
    <title>gsd-2021-37636</title>
    <updated>2026-10-06T05:51:22.296398+00:00</updated>
    <content>gsd-2021-37636</content>
    <link href="https://cve.radiocsirt.org/vuln/gsd-2021-37636"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/opensuse-su-2022:10014-1</id>
    <title>openSUSE-SU-2022:10014-1 — Security update for tensorflow2</title>
    <updated>2026-10-06T05:51:22.296410+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>Security update for tensorflow2</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/opensuse-su-2022:10014-1"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/pysec-2021-258</id>
    <title>PYSEC-2021-258</title>
    <updated>2026-10-06T05:51:22.296446+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: tensorflow</p>
<p>TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.SparseDenseCwiseDiv` is vulnerable to a division by 0 error. The [implementation](https://github.com/tensorflow/tensorflow/blob/a1bc56203f21a5a4995311825ffaba7a670d7747/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L56) uses a common class for all binary operations but fails to treat the division by 0 case separately. We have patched the issue in GitHub commit d9204be9f49520cdaaeb2541d1dc5187b23f31d9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2021-258"/>
  </entry>
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