CVE-2026-45565
Published: 10 June 2026
Summary
CVE-2026-45565 is a high-severity Improper Input Validation (CWE-20) vulnerability. Its CVSS base score is 8.1 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 22.1th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-36062
Vulnerability details
Roxy-WI is a web interface for managing Haproxy, Nginx, Apache and Keepalived servers. In versions 8.2.6.4 and prior, EscapedString (app/modules/roxywi/class_models.py:16-30) is the centralised Pydantic validator used on dozens of fields including SSH credential name, username, description, etc. Its if/elif/elif/else flow…
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returns the metacharacter-stripped value without also enforcing the .. block. An attacker who appends a single ;, &, |, $, or backtick to a .. payload routes the value through the strip arm, where .. survives unblocked and the result is not shlex.quote()'d either. At time of publication, there are no publicly available patches.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Direct RCE via unsanitized input in public web app enables remote exploitation of the exposed service.
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.
Policy and procedures require sanitization and neutralization when generating audit logs to avoid injection issues.
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.
Requiring output to conform to expected content prevents unneutralized data from reaching logs.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.