CVE-2026-32703

March 19, 2026, 7:23 p.m.

9.0
Critical

Description

OpenProject is an open-source, web-based project management software. In versions prior to 16.6.9, 17.0.6, 17.1.3, and 17.2.1, the Repositories module did not properly escape filenames displayed from repositories. This allowed an attacker with push access into the repository to create commits with filenames that included HTML code that was injected in the page without proper sanitation. This allowed a persisted XSS attack against all members of this project that accessed the repositories page to display a changeset where the maliciously crafted file was deleted. Versions 16.6.9, 17.0.6, 17.1.3, and 17.2.1 fix the issue.

Product(s) Impacted

Vendor Product Versions
Openproject
  • Openproject
  • *, 17.2.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.

*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 openproject openproject / / / / / / / /
a openproject openproject / / / / / / / /
a openproject openproject / / / / / / / /
a openproject openproject 17.2.0 / / / / / / /

CVSS Score

9.0 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: CHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H

    View Vector String

Timeline

Published: March 18, 2026, 10:16 p.m.
Last Modified: March 19, 2026, 7:23 p.m.

Status : Analyzed

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

More info

*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.