CVE-2024-4403
Published: 10 June 2024
Summary
CVE-2024-4403 is a high-severity CSRF (CWE-352) vulnerability in Lollms Lollms-Webui. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Service Stop (T1489); ranked at the 17.6th 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 Other Platforms; in the Other ATLAS/OWASP Terms risk domain; MITRE ATLAS techniques in scope: External Harms (AML.T0048).
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-44033
Vulnerability details
A Cross-Site Request Forgery (CSRF) vulnerability exists in the restart_program function of the parisneo/lollms-webui v9.6. This vulnerability allows attackers to trick users into performing unintended actions, such as resetting the program without their knowledge, by sending specially crafted CSRF forms.…
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This issue affects the installation process, including the installation of Binding zoo and Models zoo, by unexpectedly resetting programs. The vulnerability is due to the lack of CSRF protection in the affected function.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other Platforms
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- parisneo/lollms-webui is a web UI platform for deploying and running large language models (LLMs), fitting as an AI platform for model management and inference.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The CSRF vulnerability enables unauthorized execution of the restart_program function, allowing attackers to restart the application and disrupt availability, mapping to service stop and endpoint DoS via application exploitation.
MITRE ATLAS TechniquesAI
MITRE ATLAS techniques
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.
Awareness training educates users on avoiding untrusted links and actions that can be exploited via CSRF.
Requiring user re-entry of credentials for sensitive actions prevents automated forgery of requests without active user participation.
Security testing regimens explicitly include checks for missing or ineffective anti-CSRF protections in web applications.
Detects anomalous request patterns consistent with cross-site request forgery.