Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:NSummary
CVE-2024-47171 is a medium-severity Path Traversal: '.../...//' (CWE-35) vulnerability in Agnai Agnai. Its CVSS base score is 4.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 40th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
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.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-2790
Vulnerability Data
Agnai is an artificial-intelligence-agnostic multi-user, mult-bot roleplaying chat system. A vulnerability in versions prior to 1.0.330 permits attackers to upload image files at attacker-chosen location on the server. This issue can lead to image file uploads to unauthorized or unintended…
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directories, including overwriting of existing images which may be used for defacement. This does not affect `agnai.chat`, installations using S3-compatible storage, or self-hosting that is not publicly exposed. Version 1.0.330 fixes this vulnerability.
- CWE(s)
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 path sequences so the traversal cannot be introduced or exploited.
Enforces information flow rules that stop unauthorized directory escapes via crafted paths.
Least privilege reduces the impact of any successful traversal by limiting accessible resources.
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.
Secure SDLC practices directly require input validation and path sanitization that neutralize traversal sequences.
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 can detect path-traversal flaws before release.
Secure SDLC mandates input validation and path-handling controls that directly mitigate path traversal.
Application security requirements include rules for safe file-path construction and canonicalization.
Secure architecture principles require proper directory restrictions and input sanitization to prevent traversal.
Secure coding standards explicitly forbid unsafe path concatenation and mandate canonicalization routines.
Information access restriction limits file reachability but does not address the input-validation flaw itself.