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  <updated>2026-10-16T09:15:04.508947+00:00</updated>
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  <entry>
    <id>https://cve.radiocsirt.org/vuln/cve-2026-7372</id>
    <title>CVE-2026-7372 — GeoVision GV-VMS V20 WebCam Server Login stack overflow vulnerability</title>
    <updated>2026-10-16T09:15:04.510227+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> GeoVision Inc. GV-VMS V20.0.2</p>
<p>A stack overflow vulnerability exists in the WebCam Server Login functionality of GeoVision GV-VMS V20 20.0.2. A specially crafted HTTP request can lead to an arbitrary code execution. An attacker can make an unauthenticated HTTP request to trigger this vulnerability.</p>
<p>#### Stack-overflow via unconstrained sscanf</p>
<p>The call to `sscanf` at [1] to split the `Buffer` variable into the `username` and `password` variables doesn't limit the size of the extracted content to match the destination buffers' sizes. In this case, if either the username or password decoded from the authorization string exceeds `40` characters (the size the stack variables  `username` and `password`) then a stack overflow will occur.</p>
<p>The data is controlled by an attacker, but sronger constraints (e.g. no null bytes) may make exploitation harder. A successful attack could  lead to full code execution as SYSTEM on the machine running the service.</p></div>
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    <link href="https://cve.radiocsirt.org/vuln/cve-2026-7372"/>
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