CVE-2024-11850
Published: 20 March 2025
Summary
CVE-2024-11850 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Langgenius Dify. Its CVSS base score is 5.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique SVG Smuggling (T1027.017); ranked in the top 34.6% 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-2025-7037
Vulnerability details
A stored cross-site scripting (XSS) vulnerability exists in the latest version of langgenius/dify. The vulnerability is due to improper validation and sanitization of user input in SVG markdown support within the chatbot feature. An attacker can exploit this vulnerability by…
more
injecting malicious SVG content, which can execute arbitrary JavaScript code when viewed by an admin, potentially leading to credential theft.
- 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
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Stored XSS via unsanitized SVG markdown enables SVG smuggling for obfuscation (T1027.017), JavaScript code execution in admin browser (T1059.007), exploitation of public-facing web application (T1190), and credential theft via session cookie stealing (T1539).
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.