Cyber Resilience

CVE-2025-8520

LowPublic PoC

Published: 04 August 2025

Published
04 August 2025
Modified
29 April 2026
KEV Added
Patch
CVSS Score v4 2.0 CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.0041 61.9th percentile
Risk Priority 4 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-8520 is a low-severity SSRF (CWE-918) vulnerability in Vvveb Vvveb. Its CVSS base score is 2.0 (Low).

Operationally, ranked in the top 38.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

EU & UK References

Vulnerability details

A vulnerability classified as critical was found in givanz Vvveb up to 1.0.5. This vulnerability affects unknown code of the file /vadmin123/?module=editor/editor of the component Drag-and-Drop Editor. The manipulation of the argument url leads to server-side request forgery. The attack…

more

can be initiated remotely. The exploit has been disclosed to the public and may be used. Upgrading to version 1.0.6 is able to address this issue. The patch is identified as f684f3e374d04db715730fc4796e102f5ebcacb2. It is recommended to upgrade the affected component.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

vvveb
vvveb
≤ 1.0.6

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-918

Penetration testing attempts server-side requests to internal resources, identifying SSRF weaknesses for remediation.

addresses: CWE-918

Outbound connections to external resources can be monitored and limited at the boundary, reducing SSRF impact.

addresses: CWE-918

Validates server-side URLs and resource references to block SSRF attempts.

addresses: CWE-918

Detects server-side request forgery through monitoring of unexpected outbound connections.

References