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  <title>Most recent entries from all</title>
  <updated>2026-10-04T06:18:37.894804+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/bdu:2024-07246</id>
    <title>bdu:2024-07246</title>
    <updated>2026-10-04T06:18:37.902784+00:00</updated>
    <content>bdu:2024-07246</content>
    <link href="https://cve.radiocsirt.org/vuln/bdu:2024-07246"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/certfr-2024-avi-0670</id>
    <title>certfr-2024-avi-0670 — De multiples vulnérabilités ont été découvertes dans Splunk Machine Learning Toolkit. Elles permettent à un attaquant d…</title>
    <updated>2026-10-04T06:18:37.902818+00:00</updated>
    <content>certfr-2024-avi-0670</content>
    <link href="https://cve.radiocsirt.org/vuln/certfr-2024-avi-0670"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/cnvd-2020-66573</id>
    <title>cnvd-2020-66573</title>
    <updated>2026-10-04T06:18:37.902837+00:00</updated>
    <content>cnvd-2020-66573</content>
    <link href="https://cve.radiocsirt.org/vuln/cnvd-2020-66573"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-47232</id>
    <title>EUVD-2026-47232</title>
    <updated>2026-10-04T06:18:37.902849+00:00</updated>
    <content>EUVD-2026-47232</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-47232"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2020-28975</id>
    <title>fkie_cve-2020-28975</title>
    <updated>2026-10-04T06:18:37.902860+00:00</updated>
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        <p>svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the _n_support array. NOTE: the scikit-learn vendor's position is that the behavior can only occur if the library's API is violated by an application that changes a private attribute.</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2020-28975"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-jxfp-4rvq-9h9m</id>
    <title>GHSA-jxfp-4rvq-9h9m — scikit-learn Denial of Service</title>
    <updated>2026-10-04T06:18:37.902995+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: scikit-learn</p>
<p>svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the _n_support array.
NOTE: the scikit-learn vendor's position is that the behavior can only occur if the library's API is violated by an application that changes a private attribute.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-jxfp-4rvq-9h9m"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/gsd-2020-28975</id>
    <title>gsd-2020-28975</title>
    <updated>2026-10-04T06:18:37.903029+00:00</updated>
    <content>gsd-2020-28975</content>
    <link href="https://cve.radiocsirt.org/vuln/gsd-2020-28975"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/opensuse-su-2024:11805-1</id>
    <title>openSUSE-SU-2024:11805-1 — python310-scikit-learn-1.0.2-1.1 on GA media</title>
    <updated>2026-10-04T06:18:37.903042+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>python310-scikit-learn-1.0.2-1.1 on GA media</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/opensuse-su-2024:11805-1"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/pysec-2020-108</id>
    <title>PYSEC-2020-108</title>
    <updated>2026-10-04T06:18:37.903058+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: scikit-learn</p>
<p>** DISPUTED ** svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the _n_support array. NOTE: the scikit-learn vendor's position is that the behavior can only occur if the library's API is violated by an application that changes a private attribute.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2020-108"/>
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