CVE 9 CRITICAL

GeoVision GV-VMS V20 WebCam Server Login stack overflow vulnerability_CVE-2026-7372

9 / 10
CRITICAL
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H

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.

AI Analysis

Stack overflow vulnerability in GeoVision GV-VMS V20 WebCam Server Login functionality via unconstrained sscanf, allowing arbitrary code execution

Basic Information

ID CVE-2026-7372
Source GV
Published May 4, 2026 at 00:47

Affected Product

Vendor GeoVision Inc.
Product GV-VMS V20.0.2
Version 20.0.2
Affected Versions GeoVision Inc. GV-VMS V20.0.2 20.0.2

CWE Classification

AI Assessment

AI Score 9 / 10
AI Severity Critical
Vendor GeoVision Inc.
Product GV-VMS
Version 20.0.2

References

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