CVE Tools

CVE-2025-54866

Wazuh installation fails to protected authd.pass on Windows

Published: Nov 21, 2025Updated: Dec 2, 2025 Sources: CVE List NVD BDUCWE-276

Description

Wazuh is a free and open source platform used for threat prevention, detection, and response. From version 4.3.0 to before 4.13.0, a missing ACL on "C:\Program Files (x86)\ossec-agent\authd.pass" exposes the password to all "Authenticated Users" on the local machine. This issue has been patched in version 4.13.0.

No summary for this CVE yet.

CVSS Vector Breakdown

AV:LAC:LPR:LUI:NS:UC:HI:NA:N
Exploitability
AV:LAttack Vector
Local
AC:LAttack Complexity
Low
PR:LPrivileges Required
Low
UI:NUser Interaction
None
Scope
S:UScope
Unchanged
Impact
C:HConfidentiality
High
I:NIntegrity
None
A:NAvailability
None

Weaknesses

Affected Products

wazuhoss-projectSecurity Productsaka wazuh-manager, wazuh agent
wazuh, inccommercialSESecurity Productsaka wazuh

Exploitability

1 exploit source identified

Exploit details including PoC links, Metasploit modules, and scanner templates are available after registration.

View exploit details
Official Patch Available

Attack Graph

Products CVE Techniques Tactics

Click technique nodes to view MITRE ATT&CK details. Scroll to zoom, drag to pan.

MITRE ATT&CK

1 technique
Privilege Escalation
View detailed technique mapping

References

and 4 more references View all →

Timeline

Published
Nov 21, 2025
Last Updated
Dec 2, 2025

Unlock Complete Vulnerability Intelligence

Get the full picture for CVE-2025-54866 and every CVE in our database. Create a free account — no credit card required.

Create Free Account
Plain-language analysis
Impact assessment and exploitation scenario in plain English
Attack graph visualization
Interactive attack path and kill chain mapping
Exploit details & PoC links
ExploitDB, Metasploit, GitHub PoCs with direct links
Nuclei scanner templates
Ready-to-use vulnerability scanner templates
Full remediation guide
Patch instructions, workarounds, and compliance impact
Interactive AI chat
Ask questions about this vulnerability in natural language
Related vulnerabilities
Semantically similar CVEs and attack patterns
REST API & MCP access
Integrate vulnerability data into your workflows