CVE-2025-8994: Project Manager (WordPress plugin) · SQL Injection
Affects Project Manager (WordPress plugin)Source CVE Database V5
Not known to be exploited · CVSS 6.5 Medium.
Data as of 26 Oct 2026, 17:16 UTC
- EPSS
- 0.2% chance of exploitation in 30 days – higher than 22% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:NExploitation evidence
Disclosed: evidence found.
CVE published 15 Nov 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| wedevs Project Manager – AI Powered Project Management, Task Management, Kanban Board & Time Tracker | Affected
| Fixed in– |
AI-suggested
Until an official fix is released, restrict user privileges to minimize exposure and monitor for suspicious activity related to the 'completed_at_operator' parameter. Avoid granting unnecessary Subscriber-level access to untrusted users.
Description
The Project Management, Team Collaboration, Kanban Board, Gantt Charts, Task Manager and More – WP Project Manager plugin for WordPress is vulnerable to time-based SQL Injection via the ‘completed_at_operator’ parameter in all versions up to, and including, 2.6.26 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for authenticated attackers, with Subscriber-level access and above, to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.