CVE-2023-39109
SSRF in Rconfig 3.9.4
Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2023-39109 is a high-severity SSRF (CWE-918) vulnerability in Rconfig Rconfig. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 12% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
rConfig version 3.9.4 contains a server-side request forgery vulnerability in the doDiff function of /classes/compareClass.php. The flaw is triggered through the path_a parameter and is tracked as CVE-2023-39109 with a CVSS 3.1 score of 8.8 and CWE-918.
Authenticated attackers with network access can supply crafted URLs to force the application to issue arbitrary requests to internal or external resources, potentially leading to full compromise of confidentiality, integrity, and availability. The EPSS score has remained steady at a peak of 0.7845 since disclosure.
Public references consist of technical write-ups that demonstrate the injection vector but contain no vendor advisory or patch information.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-42855
Vulnerability Data
rconfig v3.9.4 was discovered to contain a Server-Side Request Forgery (SSRF) via the path_a parameter in the doDiff Function of /classes/compareClass.php. This vulnerability allows authenticated attackers to make arbitrary requests via injection of crafted URLs.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
V1.3.6V1.5.3V5.3.2V10.4.7
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.
Penetration testing attempts server-side requests to internal resources, identifying SSRF weaknesses for remediation.
Outbound connections to external resources can be monitored and limited at the boundary, reducing SSRF impact.
Validates server-side URLs and resource references to block SSRF attempts.
Detects server-side request forgery through monitoring of unexpected outbound connections.
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.