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  <id>https://cve.radiocsirt.org/rss/recent/all/10</id>
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  <updated>2026-10-06T21:55:58.621247+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-2022-23566</id>
    <title>CVE-2022-23566 — Out of bounds write in Tensorflow</title>
    <updated>2026-10-06T21:55:58.622720+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 Machine Learning Framework. TensorFlow is vulnerable to a heap OOB write in `Grappler`. The `set_output` function writes to an array at the specified index. Hence, this gives a malicious user a write primitive. 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/cve-2022-23566"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-5qw5-89mw-wcg2</id>
    <title>GHSA-5qw5-89mw-wcg2 — Out of bounds write in Tensorflow</title>
    <updated>2026-10-06T21:55:58.622772+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
TensorFlow is vulnerable to a heap OOB write in [Grappler](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/graph_properties.cc#L1132-L1141):</p>
<p>```cc
Status SetUnknownShape(const NodeDef* node, int output_port) {
  shape_inference::ShapeHandle shape = 
      GetUnknownOutputShape(node, output_port);
  InferenceContext* ctx = GetContext(node);
  if (ctx == nullptr) {
    return errors::InvalidArgument("Missing context");
  }
  ctx-&gt;set_output(output_port, shape);
  return Status::OK();
}
```</p>
<p>The [`set_output`](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.h#L394) function writes to an array at the specified index:</p>
<p>```cc
void set_output(int idx, ShapeHandle shape) { outputs_.at(idx) = shape; }
```</p>
<p>Hence, this gives a malicious user a write primitive.</p>
<p>### Patches
We have patched the issue in GitHub commit [97282c6d0d34476b6ba033f961590b783fa184cd](https://github.com/tensorflow/tensorflow/commit/97282c6d0d34476b6ba033f961590b783fa184cd).</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, and TensorFlow 2.5.3, 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 ho…</p></div>
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    <link href="https://cve.radiocsirt.org/vuln/ghsa-5qw5-89mw-wcg2"/>
  </entry>
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