CVE-2025-67506

Dec. 10, 2025, 1:15 a.m.

9.8
Critical

Description

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.

Product(s) Impacted

Vendor Product Versions
Pipeshub
  • Pipeshub
  • <0.1.0-beta

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a pipeshub pipeshub <0.1.0-beta / / / / / / /

CVSS Score

9.8 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: Dec. 10, 2025, 1:15 a.m.
Last Modified: Dec. 10, 2025, 1:15 a.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

security-advisories@github.com

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.