<?xml version='1.0' encoding='UTF-8'?>
<?xml-stylesheet href="/static/style.xsl" type="text/xsl"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
  <id>https://db.gcve.eu/rss/recent/all/10</id>
  <title>Most recent entries from all</title>
  <updated>2026-10-14T05:03:08.471145+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>info@gcve.eu</email>
  </author>
  <link href="https://db.gcve.eu" rel="alternate"/>
  <generator uri="https://lkiesow.github.io/python-feedgen" version="1.0.0">python-feedgen</generator>
  <subtitle>Contains only the most 10 recent entries.</subtitle>
  <entry>
    <id>https://db.gcve.eu/vuln/cve-2026-108960</id>
    <title>CVE-2026-108960 — Tiiny-AI PowerInfer FFN GPU-split Loader ggml-cuda.cu create_striped_mat_to_gpu out-of-bounds</title>
    <updated>2026-10-14T05:03:08.474931+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> Tiiny-AI PowerInfer</p>
<p>A vulnerability was detected in Tiiny-AI PowerInfer up to 8bd56d69906c9d2dba4d3bf6899763401e01a9a4. Affected is the function create_striped_mat_to_gpu of the file smallthinker/ggml/src/ggml-cuda/ggml-cuda.cu of the component FFN GPU-split Loader. The manipulation results in out-of-bounds read. The attack needs to be approached locally. The exploit is now public and may be used. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed. The pull request to fix this issue awaits acceptance.</p></div>
    </content>
    <link href="https://db.gcve.eu/vuln/cve-2026-108960"/>
  </entry>
</feed>
