CVE-2024-28855
Published: 18 March 2024
Summary
CVE-2024-28855 is a high-severity Improper Input Validation (CWE-20) vulnerability in Zitadel Zitadel. Its CVSS base score is 8.1 (High).
Operationally, ranked in the top 15.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-0935
Vulnerability details
ZITADEL, open source authentication management software, uses Go templates to render the login UI. Due to a improper use of the `text/template` instead of the `html/template` package, the Login UI did not sanitize input parameters prior to versions 2.47.3, 2.46.1,…
more
2.45.1, 2.44.3, 2.43.9, 2.42.15, and 2.41.15. An attacker could create a malicious link, where he injected code which would be rendered as part of the login screen. While it was possible to inject HTML including JavaScript, the execution of such scripts would be prevented by the Content Security Policy. Versions 2.47.3, 2.46.1, 2.45.1, 2.44.3, 2.43.9, 2.42.15, and 2.41.15 contain a patch for this issue. No known workarounds are available.
- 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.
Directly implements checks on information inputs to reject invalid data before processing.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.