Cyber Resilience

CVE-2025-32013

CriticalPublic PoC

Published: 06 April 2025

Published
06 April 2025
Modified
08 April 2025
KEV Added
Patch
CVSS Score v4 9.3 CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N/E:X/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 0.0009 24.9th percentile
Risk Priority 19 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-32013 is a critical-severity SSRF (CWE-918) vulnerability in Lnbits Lnbits. Its CVSS base score is 9.3 (Critical).

Operationally, ranked at the 24.9th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

EU & UK References

Vulnerability details

LNbits is a Lightning wallet and accounts system. A Server-Side Request Forgery (SSRF) vulnerability has been discovered in LNbits' LNURL authentication handling functionality. When processing LNURL authentication requests, the application accepts a callback URL parameter and makes an HTTP request…

more

to that URL using the httpx library with redirect following enabled. The application doesn't properly validate the callback URL, allowing attackers to specify internal network addresses and access internal resources.

CWE(s)

Related Threats

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

Affected Assets

lnbits
lnbits
≤ 0.12.12

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