Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:LSummary
CVE-2025-55150 is a high-severity SSRF (CWE-918) vulnerability in Stirlingpdf Stirling Pdf. Its CVSS base score is 8.6 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 25% of CVEs by exploit likelihood; 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.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
Stirling-PDF is a locally hosted web application for performing operations on PDF files. Prior to version 1.1.0 the /api/v1/convert/html/pdf endpoint invokes a third-party tool to convert supplied HTML and applies a sanitizer that can be bypassed, resulting in a server-side request forgery flaw tracked as CWE-918.
An unauthenticated attacker can reach the endpoint over the network and supply crafted input that bypasses the sanitizer, enabling SSRF with high confidentiality impact and limited integrity and availability effects as reflected in the CVSS 8.6 score.
The vulnerability is resolved in release 1.1.0; the project advisory GHSA-xw8v-9mfm-g2pm and the associated commit 7d6b70871bad2a3ff810825f7382c49f55293943 document the patch. The EPSS score has remained flat at 0.1264 with no material rise after disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-24186
Vulnerability Data
Stirling-PDF is a locally hosted web application that performs various operations on PDF files. Prior to version 1.1.0, when using the /api/v1/convert/html/pdf endpoint to convert HTML to PDF, the backend calls a third-party tool to process it and includes a…
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sanitizer for security sanitization which can be bypassed and result in SSRF. This issue has been patched in version 1.1.0.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.6V1.5.3V5.3.2V10.4.7
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.
Secure development practices directly include input validation and destination allow-listing that prevent SSRF.
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
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.
Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.