Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2024-3234 is a critical-severity Path Traversal (CWE-22) vulnerability in Gaizhenbiao Chuanhuchatgpt. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 11% 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 Supply Chain and Deployment risk domain.
The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
The gaizhenbiao/chuanhuchatgpt application is vulnerable to path traversal due to its reliance on an outdated version of the gradio component that is affected by CVE-2023-51449. Although the application intends to restrict user access to resources inside the web_assets folder, the gradio flaw permits bypass of those controls. The issue impacts all versions prior to the fix released on 20240305 and is tracked as CWE-22 with a CVSS 3.1 score of 9.8.
Unauthenticated remote attackers can exploit the vulnerability over the network without user interaction to read arbitrary files on the server, including config.json that stores API keys. Successful exploitation grants full read access to sensitive configuration data and can lead to further compromise of confidentiality, integrity, and availability.
The maintainers resolved the exposure in commit 6b8f7db347b390f6f8bd07ea2a4ef01a47382f00. Details of the flaw and remediation are documented in the associated huntr.com bounty report. The CVE carries a high EPSS score of 0.84 (peak 0.86), indicating substantial exploitation likelihood.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-31826
Vulnerability Data
The gaizhenbiao/chuanhuchatgpt application is vulnerable to a path traversal attack due to its use of an outdated gradio component. The application is designed to restrict user access to resources within the `web_assets` folder. However, the outdated version of gradio it…
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employs is susceptible to path traversal, as identified in CVE-2023-51449. This vulnerability allows unauthorized users to bypass the intended restrictions and access sensitive files, such as `config.json`, which contains API keys. The issue affects the latest version of chuanhuchatgpt prior to the fixed version released on 20240305.
- CWE(s)
AI Security AnalysisAI
- AI Category
- LLM Application Platforms
- Risk Domain
- Supply Chain and Deployment
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- chuanhuchatgpt is a Gradio-based web UI application for ChatGPT/LLM interactions, classified as an other AI platform due to its role in hosting AI chat interfaces.
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V5.3.2
Mitigating Controls (NIST 800-53 r5) AI
Enforces the intended directory access authorizations that path traversal would otherwise bypass.
Input validation directly neutralizes special path elements before pathname construction occurs.
Least privilege reduces the impact of any unauthorized file access obtained via traversal.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Patching/maintenance can remediate known path-traversal flaws in deployed software (partial prevention of exploitability) but does nothing to stop the coding defect from being introduced in the first place.
PR.AA-05 defines and reviews access policies but does not address code-level pathname neutralization, so neither direction prevents CWE-22.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing in development catches path traversal via static/dynamic analysis.
Secure SDLC mandates input validation and path sanitization that directly prevent path traversal.
Application security requirements include rules for safe file handling and canonicalization.
Secure architecture principles require least-privilege file access and directory isolation.
Secure coding standards explicitly forbid unsafe path construction and mandate safe APIs.
Information access restriction limits which files an application may read or write.