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  <updated>2026-10-08T22:54:42.087440+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-2021-29595</id>
    <title>CVE-2021-29595 — Division by zero in TFLite's implementation of `DepthToSpace`</title>
    <updated>2026-10-08T22:54:42.089125+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> tensorflow</p>
<p>TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `DepthToSpace` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/depth_to_space.cc#L63-L69). An attacker can craft a model such that `params-&gt;block_size` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/cve-2021-29595"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-vf94-36g5-69v8</id>
    <title>GHSA-vf94-36g5-69v8 — Division by zero in TFLite's implementation of `DepthToSpace`</title>
    <updated>2026-10-08T22:54:42.089183+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 the `DepthToSpace` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/depth_to_space.cc#L63-L69):</p>
<p>```cc
const int block_size = params-&gt;block_size;
...
const int input_channels = input-&gt;dims-&gt;data[3];
... 
int output_channels = input_channels / block_size / block_size;
```</p>
<p>An attacker can craft a model such that `params-&gt;block_size` is 0.</p>
<p>### Patches
We have patched the issue in GitHub commit [106d8f4fb89335a2c52d7c895b7a7485465ca8d9](https://github.com/tensorflow/tensorflow/commit/106d8f4fb89335a2c52d7c895b7a7485465ca8d9).
    
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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>
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    <link href="https://cve.radiocsirt.org/vuln/ghsa-vf94-36g5-69v8"/>
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