CVE-2025-12547
Last modified
CVE-2025-12547 is a high-severity vulnerability rated 8.1/10 on the CVSS scale. 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. EPSS estimates a 0.82% chance of exploitation in the next 30 days.
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.
Metrics
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
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
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Logicaldoc | Logicaldoc | <= 9.2.1 |
References
- https://gist.github.com/thezeekhan/869aeb01bd981667c35dcac3e72c2bfaExploit, Third Party Advisory
- https://vuldb.com/?ctiid.330807Permissions Required, VDB Entry
- https://vuldb.com/?id.330807Third Party Advisory, VDB Entry
- https://vuldb.com/?submit.677172Third Party Advisory, VDB Entry
Timeline
- Published
- Last Modified
- Status
- Analyzed
Frequently Asked Questions
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How Strix Helps
- How Strix found a critical auth bypass in etcdStrix autonomously discovered a critical authentication bypass in etcd, later designated CVE-2026-33413.
- Autonomous PentestingAI agents that find and validate exploitable vulnerabilities like this one across your applications.
- PR ReviewsPentest every pull request so vulnerable code is caught before it ships to production.
- AI Penetration TestingHow AI-driven penetration testing continuously covers your attack surface.
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Scan your code nowSource: NVD / NIST