CVE-2023-39109
Published: 01 August 2023
Summary
CVE-2023-39109 is a high-severity SSRF (CWE-918) vulnerability in Rconfig Rconfig. Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 0.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
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.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-42855
Vulnerability details
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
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
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.