CVE-2024-45799
Published: 16 September 2024
Summary
CVE-2024-45799 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Rathena Fluxcp. Its CVSS base score is 7.3 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 30.2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-41607
Vulnerability details
FluxCP is a web-based Control Panel for rAthena servers written in PHP. A javascript injection is possible via venders/buyers list pages and shop names, that are currently not sanitized. This allows executing arbitrary javascript code on the user's browser just…
more
by visiting the shop pages. As a result all logged in to fluxcp users can have their session info stolen. This issue has been addressed in release version 1.3. All users are advised to upgrade. There are no known workarounds for this vulnerability.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
XSS vulnerability (CVE-2024-45799) in public-facing FluxCP web application enables arbitrary JavaScript execution (T1190), allowing theft of logged-in users' session information such as cookies (T1539).
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 submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.