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CVE-2026-7372

CRITICAL
9.0

Description

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. #### Stack-overflow via unconstrained sscanf 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. 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.

CVE Details

CVSS v3.1 Score9.0
SeverityCRITICAL
CVSS VectorCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
Attack VectorNETWORK
ComplexityHIGH
Privileges RequiredNONE
User InteractionNONE
Published5/4/2026
Last Modified5/5/2026
Sourcenvd
Honeypot Sightings0

Affected Products

geovision:gv-vmsgeovision:gv-vms_firmware

Weaknesses (CWE)

CWE-787

References

https://talosintelligence.com/vulnerability_reports/(0df08a0e-a200-4957-9bb0-084f562506f9)
https://www.geovision.com.tw/cyber_security.php(0df08a0e-a200-4957-9bb0-084f562506f9)

IOC Correlations

No correlations recorded

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