CVE-2025-66509

Dec. 4, 2025, 10:15 p.m.

8.9
High

Description

LaraDashboard is an all-In-one solution to start a Laravel Application. In 2.3.0 and earlier, the password reset flow trusts the Host header, allowing attackers to redirect the administrator’s reset token to an attacker-controlled server. This can be combined with the module installation process to automatically execute the ServiceProvider::boot() method, enabling arbitrary PHP code execution.

Product(s) Impacted

Vendor Product Versions
Laradashboard
  • Laradashboard
  • <2.3.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-284
Improper Access Control
The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor.

*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 laradashboard laradashboard <2.3.0 / / / / / / /

References

https://github.com/laradashboard/laradashboard/commit/cc42f9cdf8e59bce794ee2d812a9709b1e6efa87
https://github.com/laradashboard/laradashboard/security/advisories/GHSA-j9mm-c9cj-pc82

Tags

CWE-284
security-advisories@github.com
2025-12-04
CVE-2025-66509

CVSS Score

8.9 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: PROOF_OF_CONCEPT

    • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P/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: Dec. 4, 2025, 10:15 p.m.
Last Modified: Dec. 4, 2025, 10:15 p.m.

Status : Received

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

More info

Source

security-advisories@github.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.