Vulnerability details

CVE-2026-7372

GeoVision GV-VMS

GeoVision GV-VMS V20 WebCam Server Login stack overflow vulnerability

CVSS 3.1
9.0Critical

Official 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.

CVSS scores

ScoreVersionSourceVector
9.0Critical 3.1 CVEProject cvelistV5 (CNA) (GV) CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H

Affected products

VendorProductVersionsSource
GeoVision Inc. GV-VMS V20.0.2 20.0.2 CVEProject cvelistV5 (CNA)

References and advisories

2
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Details

Published
2026-05-04
Last updated
2026-05-15
State
Published
Assigner (CNA)
GV

Exploit prediction (EPSS)

0.47%
Probability of exploitation in 30 days
41.3%
Percentile (among all CVEs)

SSVC assessment (CISA)

Automatable
No
Exploitation
None
Technical impact
Total

Weaknesses (CWE)

  • CWE-787
    Out-of-bounds write