CVE-2025-12547

Oct. 31, 2025, 7:15 p.m.

6.3
Medium

Description

A vulnerability was identified in LogicalDOC Community Edition up to 9.2.1. This vulnerability affects unknown code of the file /login.jsp of the component Admin Login Page. Such manipulation leads to improper restriction of excessive authentication attempts. The attack can be executed remotely. This attack is characterized by high complexity. It is stated that the exploitability is difficult. The exploit is publicly available and might be used. The vendor was contacted early about this disclosure but did not respond in any way.

Product(s) Impacted

Vendor Product Versions
Logicaldoc
  • Logicaldoc Community Edition
  • <9.2.1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-307
Improper Restriction of Excessive Authentication Attempts
The product does not implement sufficient measures to prevent multiple failed authentication attempts within a short time frame, making it more susceptible to brute force attacks.

*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 logicaldoc logicaldoc_community_edition <9.2.1 / / / / / / /

CVSS Score

6.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/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: Oct. 31, 2025, 7:15 p.m.
Last Modified: Oct. 31, 2025, 7:15 p.m.

Status : Received

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

More info

Source

cna@vuldb.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.