CVE-2025-34323

Nov. 18, 2025, 2:06 p.m.

8.5
High

Description

Nagios Log Server versions prior to 2026R1.0.1 are vulnerable to local privilege escalation due to unsafe interaction between sudo rules and file system permissions. The web server account is granted passwordless sudo access to certain maintenance scripts while also being a member of a group that has write access to the directory containing those scripts. A local attacker running as the web server user can replace one of the permitted scripts with a malicious program and then execute it via sudo, resulting in arbitrary code execution with root privileges.

Product(s) Impacted

Vendor Product Versions
Nagios
  • Nagios Log Server
  • <2026R1.0.1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-732
Incorrect Permission Assignment for Critical Resource
The product specifies permissions for a security-critical resource in a way that allows that resource to be read or modified by unintended actors.

*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 nagios nagios_log_server <2026R1.0.1 / / / / / / /

CVSS Score

8.5 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • 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:L/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: Nov. 17, 2025, 6:15 p.m.
Last Modified: Nov. 18, 2025, 2:06 p.m.

Status : Undergoing 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.