CVE-2026-25117
Published: 29 January 2026
Summary
CVE-2026-25117 is a high-severity Improper Input Validation (CWE-20) vulnerability. Its CVSS base score is 8.3 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 42.2th 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-2026-4941
Vulnerability details
pwn.college DOJO is an education platform for learning cybersecurity. Prior to commit e33da14449a5abcff507e554f66e2141d6683b0a, missing sandboxing on `/workspace/*` routes allows challenge authors to inject arbitrary javascript which runs on the same origin as `http[:]//dojo[.]website`. This is a sandbox escape leading to…
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arbitrary javascript execution as the dojo's origin. A challenge author can craft a page that executes any dangerous actions that the user could. Version e33da14449a5abcff507e554f66e2141d6683b0a patches the issue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
XSS in public-facing web app enables arbitrary JS execution (T1190, T1059.007) and browser session hijacking (T1185).
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.