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  <id>https://cve.radiocsirt.org/rss/recent/all/10</id>
  <title>Most recent entries from all</title>
  <updated>2026-10-06T10:43:28.671062+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-2021-41206</id>
    <title>BIT-tensorflow-2021-41206 — Incomplete validation of shapes in multiple TF ops</title>
    <updated>2026-10-06T10:43:29.137794+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 platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-41206"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-31623</id>
    <title>EUVD-2026-31623</title>
    <updated>2026-10-06T10:43:29.137857+00:00</updated>
    <content>EUVD-2026-31623</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-31623"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2021-41206</id>
    <title>fkie_cve-2021-41206</title>
    <updated>2026-10-06T10:43:29.137874+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2021-41206"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-pgcq-h79j-2f69</id>
    <title>GHSA-pgcq-h79j-2f69 — Incomplete validation of shapes in multiple TF ops</title>
    <updated>2026-10-06T10:43:29.137903+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
Several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible.</p>
<p>We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues.</p>
<p>### Patches
We have patched the issue in GitHub commits [68422b215e618df5ad375bcdc6d2052e9fd3080a](https://github.com/tensorflow/tensorflow/commit/68422b215e618df5ad375bcdc6d2052e9fd3080a), [4d74d8a00b07441cba090a02e0dd9ed385145bf4](https://github.com/tensorflow/tensorflow/commit/4d74d8a00b07441cba090a02e0dd9ed385145bf4), [579261dcd446385831fe4f7457d802a59685121d](https://github.com/tensorflow/tensorflow/commit/579261dcd446385831fe4f7457d802a59685121d), [da4aad5946be30e5f049920fa076e1f7ef021261](https://github.com/tensorflow/tensorflow/commit/da4aad5946be30e5f049920fa076e1f7ef021261), [4dddb2fd0b01cdd196101afbba6518658a2c9e07](https://github.com/tensorflow/tensorflow/commit/4dddb2fd0b01cdd196101afbba6518658a2c9e07), and [e7f497570abb6b4ae5af4970620cd880e4c0c904](https://github.com/tensorflow/tensorflow/commit/e7f497570abb6b4ae5af4970620cd880e4c0c904).</p>
<p>These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2…</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-pgcq-h79j-2f69"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/gsd-2021-41206</id>
    <title>gsd-2021-41206</title>
    <updated>2026-10-06T10:43:29.137953+00:00</updated>
    <content>gsd-2021-41206</content>
    <link href="https://cve.radiocsirt.org/vuln/gsd-2021-41206"/>
  </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>2026-10-06T10:43:29.137966+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-2021-843</id>
    <title>PYSEC-2021-843</title>
    <updated>2026-10-06T10:43:29.138126+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 open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2021-843"/>
  </entry>
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