CVE-2025-1163
Last modified
CVE-2025-1163 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. A vulnerability classified as critical was found in code-projects Vehicle Parking Management System 1.0. This vulnerability affects the function login of the component Authentication. EPSS estimates a 0.42% chance of exploitation in the next 30 days.
Description
A vulnerability classified as critical was found in code-projects Vehicle Parking Management System 1.0. This vulnerability affects the function login of the component Authentication. The manipulation of the argument username leads to stack-based buffer overflow. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.
Metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/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
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Code-Projects | Vehicle Parking Management System | 1.0 |
References
- https://code-projects.org/Product
- https://github.com/J0hnFFFF/j0hn_upload_three/blob/main/binary1.pdfExploit, Third Party Advisory
- https://vuldb.com/?ctiid.295066Permissions Required, VDB Entry
- https://vuldb.com/?id.295066Third Party Advisory, VDB Entry
- https://vuldb.com/?submit.494008Third Party Advisory, VDB Entry
- https://github.com/J0hnFFFF/j0hn_upload_three/blob/main/binary1.pdfExploit, Third Party Advisory
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