CVE-2024-9900
Published: 20 March 2025
Summary
CVE-2024-9900 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Mudler Localai. Its CVSS base score is 6.1 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked at the 45.8th 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-2025-6839
Vulnerability details
mudler/localai version v2.21.1 contains a Cross-Site Scripting (XSS) vulnerability in its search functionality. The vulnerability arises due to improper sanitization of user input, allowing the injection and execution of arbitrary JavaScript code. This can lead to the execution of malicious…
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scripts in the context of the victim's browser, potentially compromising user sessions, stealing session cookies, redirecting users to malicious websites, or manipulating the DOM.
- 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: localai
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The XSS vulnerability enables exploitation of a public-facing web application (T1190), browser session hijacking via injected JavaScript (T1185), and stealing web session cookies (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.