CVE-2025-0281
Published: 20 March 2025
Summary
CVE-2025-0281 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Lunary Lunary. Its CVSS base score is 5.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique JavaScript (T1059.007); ranked in the top 48.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as LLM Application Platforms; in the Other ATLAS/OWASP Terms risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-6814
Vulnerability details
A stored cross-site scripting (XSS) vulnerability exists in lunary-ai/lunary versions 1.6.7 and earlier. An attacker can inject malicious JavaScript into the SAML IdP XML metadata, which is used to generate the SAML login redirect URL. This URL is then set…
more
as the value of `window.location.href` without proper validation or sanitization. This vulnerability allows the attacker to execute arbitrary JavaScript in the context of the user's browser, potentially leading to session hijacking, data theft, or other malicious actions. The issue is fixed in version 1.7.10.
- CWE(s)
AI Security AnalysisAI
- AI Category
- LLM Application Platforms
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai, lunary
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Stored XSS via SAML IdP metadata enables arbitrary JavaScript execution (T1059.007) in victims' browsers during login, facilitating exploitation for privilege escalation (T1068), exploitation for credential access (T1212), web session cookie theft (T1539), and browser credential extraction (T1555.003).
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.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
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.