Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:NSummary
CVE-2026-29871 is a high-severity Path Traversal (CWE-22) vulnerability in Theunwindai Awesome Llm Apps. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 44th 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 Privacy and Disclosure 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.
CVE-2026-29871 is a path traversal vulnerability (CWE-22) affecting the awesome-llm-apps project at commit e46690f99c3f08be80a9877fab52acacf7ab8251, dated 2026-01-19. It resides in the Beifong AI News and Podcast Agent backend, built with FastAPI, specifically in the stream-audio endpoint defined in the file routers/podcast_router.py within the stream_audio function. The vulnerability arises because the endpoint accepts a user-controlled path parameter that is concatenated directly into a filesystem path without proper validation or restriction, enabling unauthorized file access.
An unauthenticated remote attacker can exploit this vulnerability over the network (AV:N) with low attack complexity (AC:L), no privileges (PR:N), no user interaction (UI:N), and unchanged scope (S:U). By supplying a crafted path parameter, such as one using directory traversal sequences, the attacker can read arbitrary files from the server filesystem. This may disclose sensitive information, including configuration files and credentials, with a CVSS v3.1 base score of 7.5 (C:H/I:N/A:N) indicating high confidentiality impact.
Mitigation details and additional information are available in the security research advisory at https://github.com/lilmingwa13/security-research/blob/main/CVE-2026-29871.md, published on 2026-03-27.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-16640
Vulnerability Data
A path traversal vulnerability exists in the awesome-llm-apps project in commit e46690f99c3f08be80a9877fab52acacf7ab8251 (2026-01-19) in the Beifong AI News and Podcast Agent backend in FastAPI backend, stream-audio endpoint, in file routers/podcast_router.py, in function stream_audio. The stream-audio endpoint accepts a user-controlled path…
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parameter that is concatenated into a filesystem path without proper validation or restriction. An unauthenticated remote attacker can exploit this vulnerability to read arbitrary files from the server filesystem, potentially disclosing sensitive information such as configuration files and credentials.
- CWE(s)
AI Security AnalysisAI
- AI Category
- LLM Application Platforms
- Risk Domain
- Privacy and Disclosure
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai, llm
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.