CVE-2024-6036
Published: 10 July 2024
Summary
CVE-2024-6036 is a critical-severity Uncontrolled Resource Consumption (CWE-400) vulnerability in Gaizhenbiao Chuanhuchatgpt. Its CVSS base score is 9.1 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Service Stop (T1489); ranked in the top 8.4% 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 Enterprise AI Assistants; in the Other ATLAS/OWASP Terms risk domain; MITRE ATLAS techniques in scope: External Harms (AML.T0048).
Deeper analysis
A vulnerability in gaizhenbiao/chuanhuchatgpt version 20240410 permits any remote user to trigger an unrestricted server restart by issuing a request to the /queue/join? endpoint containing the parameter "fn_index":66. The flaw is tracked as CVE-2024-6036 with a CVSS 3.1 score of 9.1 and is associated with CWE-400. The restart capability can interrupt service availability, lead to data loss or corruption, and affect overall system integrity.
Any unauthenticated attacker with network access can exploit the issue without user interaction, achieving denial-of-service conditions or integrity impacts through repeated or targeted restarts. The current and peak EPSS scores are both 0.0687, indicating no material increase in exploitation interest after disclosure. Public references point to a huntr.com bounty report but contain no details on patches or mitigation steps.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-47194
Vulnerability details
A vulnerability in gaizhenbiao/chuanhuchatgpt version 20240410 allows any user to restart the server at will by sending a specific request to the `/queue/join?` endpoint with `"fn_index":66`. This unrestricted server restart capability can severely disrupt service availability, cause data loss or…
more
corruption, and potentially compromise system integrity.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- ChuanHuChatGPT (gaizhenbiao/chuanhuchatgpt) is a self-hosted web UI for ChatGPT-like AI chat assistants, supporting LLMs via APIs like OpenAI or Ollama. It uses Gradio-style endpoints (/queue/join), common in AI/ML demos, and is listed on an AI/ML bug bounty platform (huntr.com), confirming AI relevance.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability enables unauthorized server restarts via a crafted HTTP request, facilitating service stoppage (T1489) and endpoint denial of service through application exploitation (T1499.004), leading to service disruption and potential data loss.
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.
Limiting concurrent sessions directly prevents uncontrolled resource consumption by capping the number of active sessions per user or account.
Analysis identifies uncontrolled resource consumption indicative of denial-of-service or abuse attempts.
Contingency plan testing includes resource exhaustion scenarios to verify recovery, making it harder for attackers to sustain exploits that cause uncontrolled consumption.
Updated contingency plans include current procedures to detect, contain, and recover from resource exhaustion, limiting an attacker's ability to sustain impact from uncontrolled consumption.
Alternate site allows resumption of operations if resource exhaustion at the primary site is exploited to cause unavailability.
Alternate telecommunications services enable resumption of essential functions when primary services become unavailable due to uncontrolled resource consumption.
The team can analyze and respond to resource exhaustion incidents, reducing the impact of attacks that exploit uncontrolled consumption weaknesses.
Timely maintenance support and spare parts enable rapid recovery from failures induced by uncontrolled resource consumption, shortening the impact window of denial-of-service attacks.