CVE-2026-44298

May 8, 2026, 8:01 p.m.

4.1
Medium

Description

Kimai is an open-source time tracking application. From version 2.32.0 to before version 2.56.0, users with the role System-Admin (ROLE_SYSTE_ADMIN) and the permission upload_invoice_template can upload PDF invoice templates, which can call pdfContext.setOption('associated_files', ...) inside the sandboxed Twig render. This is forwarded to mPDF's SetAssociatedFiles(), whose writer calls file_get_contents($entry['path']) during PDF output and embeds the bytes as a FlateDecode stream in the PDF. Any file readable by the PHP worker is returned to the attacker inside the rendered invoice. This issue has been patched in version 2.56.0.

Product(s) Impacted

Vendor Product Versions
Kimai
  • Kimai
  • *

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 kimai kimai / / / / / / / /

CVSS Score

4.1 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: May 8, 2026, 4:16 a.m.
Last Modified: May 8, 2026, 8:01 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.