Cyber Resilience

CVE-2025-54560

SSRF in Desktopalert Pingalert Application Server 6.1.0.11 – 6.1.1.5

Published
14 November 2025
Modified
20 November 2025
Patch / advisory
CVSS Score v3.1 3.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:N
EPSS Score 0.0019 8th percentile
Risk Priority 31 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2025-54560 is a low-severity SSRF (CWE-918) vulnerability in Desktopalert Pingalert Application Server. Its CVSS base score is 3.8 (Low).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to AC-4 (Information Flow Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

A Server-side Request Forgery vulnerability was found in the Application Server of Desktop Alert PingAlert version 6.1.0.11 to 6.1.1.2 which allows Probing of internal infrastructure.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2025-54559Same product: Desktopalert Pingalert Application Server
CVE-2025-54347Same product: Desktopalert Pingalert Application Server
CVE-2025-54343Same product: Desktopalert Pingalert Application Server
CVE-2025-54339Same product: Desktopalert Pingalert Application Server
CVE-2025-54563Same product: Desktopalert Pingalert Application Server
CVE-2025-54338Same product: Desktopalert Pingalert Application Server
CVE-2025-54561Same product: Desktopalert Pingalert Application Server
CVE-2025-54346Same product: Desktopalert Pingalert Application Server
CVE-2025-54341Same product: Desktopalert Pingalert Application Server
CVE-2025-54345Same product: Desktopalert Pingalert Application Server

Affected Assets

desktopalert
pingalert application server
6.1.0.11 — 6.1.1.5

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V1.3.6
  • V1.5.3
  • V5.3.2
  • V10.4.7

Mitigating Controls (NIST 800-53 r5) AI

Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.

Input validation directly stops untrusted URLs from being accepted and fetched without destination checks.

Boundary protection limits the network reach of server-initiated requests even if SSRF occurs.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure development practices directly include input validation and destination allow-listing that prevent SSRF.

DE.CM-09 partial match
prevents

Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.

ID.RA-01 partial match
prevents

Vulnerability identification processes can discover and record SSRF flaws in web applications.

PR.IR-01 partial match
prevents

Network segmentation and egress controls can limit the damage from successful SSRF requests.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

prevents

Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.

References