CVE-2025-67506 (GCVE-0-2025-67506)
Vulnerability from cvelistv5 – Published: 2025-12-10 00:36 – Updated: 2025-12-10 15:35
VLAI
EPSS
VEX
Title
PipesHub Vulnerable to Path Traversal through Unauthenticated Arbitrary File Upload
Summary
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 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.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-10 15:35 UTC
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/pipeshub-ai/pipeshub-ai/securi… | x_refsource_CONFIRM |
| https://github.com/pipeshub-ai/pipeshub-ai/commit… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| pipeshub-ai | pipeshub-ai |
Affected:
< 0.1.0-beta
|
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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