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  <title>Most recent entries from all</title>
  <updated>2026-10-02T13:39:34.593431+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
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  <subtitle>Contains only the most 10 recent entries.</subtitle>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/certfr-2026-avi-0873</id>
    <title>certfr-2026-avi-0873 — De multiples vulnérabilités ont été découvertes dans Microsoft Azure Linux. Elles permettent à un attaquant de provoque…</title>
    <updated>2026-10-02T13:39:34.597573+00:00</updated>
    <content>certfr-2026-avi-0873</content>
    <link href="https://cve.radiocsirt.org/vuln/certfr-2026-avi-0873"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-331942</id>
    <title>EUVD-2026-331942</title>
    <updated>2026-10-02T13:39:34.597612+00:00</updated>
    <content>EUVD-2026-331942</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-331942"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2026-12480</id>
    <title>fkie_cve-2026-12480</title>
    <updated>2026-10-02T13:39:34.597627+00:00</updated>
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        <p>Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the `H5IOStore._verify_dataset()` and `file_editor.py` methods, which fail to check the `dataset.is_virtual` property of HDF5 datasets. This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.2 and 3.14.1.</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2026-12480"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-26c4-7vv6-867j</id>
    <title>GHSA-26c4-7vv6-867j — Keras: HDF5 virtual datasets can disclose local files</title>
    <updated>2026-10-02T13:39:34.597661+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: keras</p>
<p>Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the `H5IOStore._verify_dataset()` and `file_editor.py` methods, which fail to check the `dataset.is_virtual` property of HDF5 datasets. This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.3 and 3.15.0.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-26c4-7vv6-867j"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/msrc_cve-2026-12480</id>
    <title>msrc_CVE-2026-12480 — Arbitrary HDF5 File Read via Virtual Dataset Bypass in keras-team/keras</title>
    <updated>2026-10-02T13:39:34.597689+00:00</updated>
    <content>msrc_CVE-2026-12480</content>
    <link href="https://cve.radiocsirt.org/vuln/msrc_cve-2026-12480"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/pysec-2026-3629</id>
    <title>PYSEC-2026-3629 — Keras: HDF5 virtual datasets can disclose local files</title>
    <updated>2026-10-02T13:39:34.597705+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: keras</p>
<p>Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the `H5IOStore._verify_dataset()` and `file_editor.py` methods, which fail to check the `dataset.is_virtual` property of HDF5 datasets. This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.3 and 3.15.0.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2026-3629"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ubuntu-cve-2026-12480</id>
    <title>UBUNTU-CVE-2026-12480</title>
    <updated>2026-10-02T13:39:34.597728+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> Ubuntu:18.04:LTS: keras, Ubuntu:20.04:LTS: keras</p>
<p>Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the `H5IOStore._verify_dataset()` and `file_editor.py` methods, which fail to check the `dataset.is_virtual` property of HDF5 datasets. This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.2 and 3.14.1.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ubuntu-cve-2026-12480"/>
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