CVE-2025-49149
Published: 17 June 2025
Summary
CVE-2025-49149 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Langgenius Dify. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique JavaScript (T1059.007); ranked at the 41.7th percentile by exploit likelihood (below the median); 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-2025-18567
Vulnerability details
Dify is an open-source LLM app development platform. In version 1.2.0, there is insufficient filtering of user input by web applications. Attackers can use website vulnerabilities to inject malicious script code into web pages. This may result in a cross-site…
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scripting (XSS) attack when a user browses these web pages. At time of posting, there is no known patched version.
- 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: dify, llm
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Stored XSS vulnerability enables injection and execution of malicious JavaScript in users' browsers (T1059.007, T1190), facilitating theft of web session cookies (T1539) and browser credentials (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.