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  <updated>2026-10-19T14:23:52.747244+00:00</updated>
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    <email>csirt@opendfir.org</email>
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    <id>https://cve.radiocsirt.org/vuln/euvd-2026-248706</id>
    <title>EUVD-2026-248706</title>
    <updated>2026-10-19T14:23:52.749203+00:00</updated>
    <content>EUVD-2026-248706</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-248706"/>
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  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2025-54430</id>
    <title>fkie_cve-2025-54430</title>
    <updated>2026-10-19T14:23:52.749235+00:00</updated>
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        <p>dedupe is a python library that uses machine learning to perform fuzzy matching, deduplication and entity resolution quickly on structured data. Before commit 3f61e79, a critical severity vulnerability has been identified within the .github/workflows/benchmark-bot.yml workflow, where a issue_comment can be triggered using the @benchmark body. This workflow is susceptible to exploitation as it checkout the ${{ github.event.issue.number }}, which correspond to the branch of the PR manipulated by potentially malicious actors, and where untrusted code may be executed. Running untrusted code may lead to the exfiltration of GITHUB_TOKEN, which in this workflow has write permissions on most of the scopes - in particular the contents one - and could lead to potential repository takeover. This is fixed by commit 3f61e79.</p>
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    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2025-54430"/>
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