Cyber Resilience

CVE-2025-32372

SSRF in Dnnsoftware Dotnetnuke ≤ 9.13.8

Published
09 April 2025
Modified
26 August 2025
Patch / advisory
CVSS Score v3.1 6.5
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N
EPSS Score 0.0036 29th percentile
Risk Priority 50 floored blend · peak EPSS

Summary

CVE-2025-32372 is a medium-severity SSRF (CWE-918) vulnerability in Dnnsoftware Dotnetnuke. Its CVSS base score is 6.5 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 29th 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

DNN (formerly DotNetNuke) is an open-source web content management platform (CMS) in the Microsoft ecosystem. A bypass has been identified for the previously known vulnerability CVE-2017-0929, allowing unauthenticated attackers to execute arbitrary GET requests against target systems, including internal or…

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adjacent networks. This vulnerability facilitates a semi-blind SSRF attack, allowing attackers to make the target server send requests to internal or external URLs without viewing the full responses. Potential impacts include internal network reconnaissance, bypassing firewalls. This vulnerability is fixed in 9.13.8.

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-2025-32373Same product: Dnnsoftware Dotnetnuke
CVE-2025-48376Same product: Dnnsoftware Dotnetnuke
CVE-2025-48378Same product: Dnnsoftware Dotnetnuke
CVE-2026-24833Same product: Dnnsoftware Dotnetnuke
CVE-2025-59539Same product: Dnnsoftware Dotnetnuke
CVE-2025-59545Same product: Dnnsoftware Dotnetnuke
CVE-2026-24784Same product: Dnnsoftware Dotnetnuke
CVE-2025-64095Same product: Dnnsoftware Dotnetnuke
CVE-2025-59547Same product: Dnnsoftware Dotnetnuke
CVE-2025-52486Same product: Dnnsoftware Dotnetnuke

Affected Assets

dnnsoftware
dotnetnuke
≤ 9.13.8

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