CVE-2026-10863
Published: 04 June 2026
Summary
CVE-2026-10863 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Misp-Project Misp. Its CVSS base score is 6.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 13.1th 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-2026-34265
Vulnerability details
A security issue was fixed in the correlations over-correlation endpoint where the order query parameter was accepted from user-controlled named request parameters. This allowed an authenticated user to override the server-defined ordering of over-correlating values. Depending on how the value…
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was processed by the underlying data access layer, this could allow manipulation of database query ordering and potentially expose the application to unsafe query construction. The patch removes order from the set of request-controlled parameters and instead sets the ordering server-side to occurrence desc after processing allowed user parameters. Affected component: app/Controller/CorrelationsController.php, overCorrelations() Security impact: An authenticated attacker could influence the ordering clause used by the over-correlations query. The direct impact appears limited to query manipulation unless further evidence confirms SQL injection or unauthorized data exposure through the manipulated ordering expression.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Vulnerable web endpoint accepts unsanitized user-controlled order parameter, directly enabling exploitation of the public-facing application for query manipulation (potential SQLi).
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.
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.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.