Critical severity · published May 4, 2026
CVE-2026-7372
GeoVision GV-VMS V20 WebCam Server Login stack overflow vulnerability
9.0
CVSS
0.5%
EPSS
No
On KEV
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 vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
Attack vector
Network
Complexity
High
Privileges
None
User interaction
None
Confidentiality
High
Integrity
High
Availability
High
Scope
Changed
Exploitation
Is it being used?
Exploit prediction (EPSS)0.5% · higher than 41% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
GV
GV-VMS V20.0.2 · GeoVision Inc.
20.0.2 · source: vendor
GF
Gv-vms Firmware · Geovision
before 21.0.0 · source: NVD
Affected product
GV
GV-VMS V20.0.2
GeoVision Inc.
More from GV-VMS V20.0.2
10.0
CVE-2026-42369
GeoVision GV-VMS V20 WebCam Server stack overflow vulnerability
9.8
CVE-2026-42370
GeoVision GV-VMS V20 WebCam Server Login stack overflow vulnerability