Cyber Resilience

CVE-2025-45250

SSRF in Mrdoc ≤ 0.95

Public PoCSSRF
Published
06 May 2025
Modified
17 June 2026
Patch / advisory
CVSS Score v3.1 5.5
Click a component to see what it means
Raw vectorCVSS:3.1/AV:A/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L
EPSS Score 0.0026 18th percentile
Risk Priority 35 floored blend · peak EPSS

Summary

CVE-2025-45250 is a medium-severity SSRF (CWE-918) vulnerability in Mrdoc Mrdoc. Its CVSS base score is 5.5 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Network Service Discovery (T1046); ranked at the 18th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

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

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

MrDoc v0.95 and before is vulnerable to Server-Side Request Forgery (SSRF) in the validate_url function of the app_doc/utils.py file.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1046 Network Service Discovery Discovery
Adversaries may attempt to get a listing of services running on remote hosts and local network infrastructure devices, including those that may be vulnerable to remote software exploitation.
T1090.001 Internal Proxy Command And Control
Adversaries may use an internal proxy to direct command and control traffic between two or more systems in a compromised environment.
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.
Why these techniques?

SSRF vulnerability enables exploitation of public-facing web application (T1190), internal network service discovery via server-side requests (T1046), and use of the vulnerable application as an internal proxy to access or pivot to internal systems (T1090.001).

CVEs Like This One

CVE-2025-10096Shared CWE-918
CVE-2025-14004Shared CWE-918
CVE-2024-41812Shared CWE-918
CVE-2024-13924Shared CWE-918
CVE-2026-4979Shared CWE-918
CVE-2024-51242Shared CWE-918
CVE-2026-43526Shared CWE-918
CVE-2025-14518Shared CWE-918
CVE-2025-8133Shared CWE-918
CVE-2025-71259Shared CWE-918

Affected Assets

mrdoc
mrdoc
≤ 0.95

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)
  • SI-10 Information Input Validation
  • SC-7 Boundary Protection
  • AC-4 Information Flow Enforcement
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

prevent

Directly requires validation of URL inputs in functions like validate_url to reject malformed or unauthorized destination addresses that enable SSRF.

prevent

Enforces boundary controls on outbound network requests, limiting the server’s ability to reach arbitrary internal or external resources via the vulnerable validate_url path.

prevent

Implements information flow policies that restrict which destinations a server-side component may contact, blocking the unauthorized request flows exploited by this SSRF flaw.

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