CVE-2025-34113

July 15, 2025, 8:07 p.m.

8.7
High

Description

An authenticated command injection vulnerability exists in Tiki Wiki CMS versions ≤14.1, ≤12.4 LTS, ≤9.10 LTS, and ≤6.14 via the `viewmode` GET parameter in `tiki-calendar.php`. When the calendar module is enabled and an authenticated user has permission to access it, an attacker can inject and execute arbitrary PHP code. Successful exploitation leads to remote code execution in the context of the web server user.

Product(s) Impacted

Vendor Product Versions
Tiki
  • Tiki Wiki Cms
  • <14.1, <12.4, <9.10, <6.14

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-20
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

*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 tiki tiki_wiki_cms <14.1 / / / / / / /
a tiki tiki_wiki_cms <12.4 / / / / / / /
a tiki tiki_wiki_cms <9.10 / / / / / / /
a tiki tiki_wiki_cms <6.14 / / / / / / /

CVSS Score

8.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: July 15, 2025, 1:15 p.m.
Last Modified: July 15, 2025, 8:07 p.m.

Status : Awaiting Analysis

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

More info

Source

disclosure@vulncheck.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.