Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2025-67506 is a critical-severity Path Traversal (CWE-22) vulnerability in Pipeshub Pipeshub. 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 23% 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 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.
CVE-2025-67506 is a critical path traversal vulnerability (CWE-22) combined with unrestricted upload of files with dangerous type (CWE-434) affecting PipesHub, a fully extensible workplace AI platform for enterprise search and workflow automation. Versions prior to 0.1.0-beta expose the POST /api/v1/record/buffer/convert endpoint without authentication. This endpoint accepts file uploads and converts them to PDF using LibreOffice, saving payloads to os.path.join(tmpdir, file.filename) without normalizing the filename, allowing attackers to use ../ sequences for directory traversal.
Unauthenticated remote attackers can exploit this vulnerability over the network with low complexity and no user interaction, as indicated by its CVSS 3.1 base score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H). By submitting a crafted filename, attackers can write arbitrary files to locations where the service account has write permissions, enabling remote file overwrites or the planting of malicious code for potential code execution or persistence.
The issue is fixed in PipesHub version 0.1.0-beta. Mitigation details are available in the GitHub security advisory at https://github.com/pipeshub-ai/pipeshub-ai/security/advisories/GHSA-w398-9m55-2357 and the fixing commit at https://github.com/pipeshub-ai/pipeshub-ai/commit/987ebab40a1fc39956730ed93220f7f9b2c4e5f8. Security practitioners should upgrade affected deployments immediately and review access to the endpoint.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-202360
Vulnerability Data
PipesHub is a fully extensible workplace AI platform for enterprise search and workflow automation. Versions prior to 0.1.0-beta expose POST /api/v1/record/buffer/convert through missing authentication. The endpoint accepts a file upload and converts it to PDF via LibreOffice by uploading payload…
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to os.path.join(tmpdir, file.filename) without normalizing the filename. An attacker can submit a crafted filename containing ../ sequences to write arbitrary files anywhere the service account has permission, enabling remote file overwrite or planting malicious code. This issue is fixed in version 0.1.0-beta.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- Supply Chain and Deployment
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V5.3.2V5.1.1
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.
Malicious-code protection at entry points blocks dangerous file types from being accepted and executed.
Least privilege reduces the impact of any unauthorized file access obtained via traversal.
Least functionality restricts the file types and automatic processing capabilities the system will accept.
Mobile-code controls define, authorize, and block unacceptable uploaded code before automatic processing occurs.
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.
Restricting execution of unauthorized software directly blocks dangerous uploaded files from running.
Hardened configuration baselines can enforce allowed file types and processing rules.
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.
Secure development practices include input validation and file-type restrictions that prevent this weakness.
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.