CVE-2022-23475
Published: 06 December 2022
Summary
CVE-2022-23475 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Daloradius Daloradius. Its CVSS base score is 8.8 (High).
Operationally, ranked at the 34.2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-28537
Vulnerability details
daloRADIUS is an open source RADIUS web management application. daloRadius 1.3 and prior are vulnerable to a combination cross site scripting (XSS) and cross site request forgery (CSRF) vulnerability which leads to account takeover in the mng-del.php file because of…
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an unescaped variable reflected in the DOM on line 116. This issue has been addressed in commit `ec3b4a419e`. Users are advised to manually apply the commit in order to mitigate this issue. Users may also mitigate this issue with in two parts 1) The CSRF vulnerability can be mitigated by making the daloRadius session cookie to samesite=Lax or by the implimentation of a CSRF token in all forms. 2) The XSS vulnerability may be mitigated by escaping it or by introducing a Content-Security policy.
- 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.
Awareness training educates users on avoiding untrusted links and actions that can be exploited via CSRF.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Requiring user re-entry of credentials for sensitive actions prevents automated forgery of requests without active user participation.
Security testing regimens explicitly include checks for missing or ineffective anti-CSRF protections in web applications.
Validates web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
Detects anomalous request patterns consistent with cross-site request forgery.