Fingerprint-Driven Automation: Coupling Reconnaissance with POC Verification

2026-07-29

AI Summary

This work addresses critical limitations in existing cybersecurity reconnaissance tools—namely low accuracy, poor stealth, inefficiency, and insufficient scalability—by proposing and implementing a fingerprint-driven, automated reconnaissance and vulnerability validation framework. The framework tightly integrates target fingerprinting with proof-of-concept (PoC) verification, enabling end-to-end automation of reconnaissance, in-depth data processing, and vulnerability detection. By coupling the reconnaissance and validation phases into a unified workflow, the approach significantly enhances system automation, usability, and extensibility. Experimental evaluation in simulated environments demonstrates that the tool efficiently executes comprehensive reconnaissance-to-validation pipelines, substantially improving the effectiveness and speed of offensive and defensive cyber operations.

Abstract

In the field of network security confrontation, reconnaissance is the first and most critical step. Accurate, efficient, and comprehensive reconnaissance can help network security workers more fully understand the target's current state, identify potential weaknesses, and formulate a targeted attack strategy. However, there are some problems in the existing tools on the market, such as low accuracy of the collected information, lack of concealment, time-consuming, low or high integration of tools, which makes them difficult to start using. With the continuous development of technology, systems need to continuously upgrade their technologies and strategies, and expand new functions. The scalability of tool functions is also one of the factors that need to be taken into consideration. These problems in the practice of network security have a serious impact on user experience and work efficiency. In view of this, a more user-friendly, more automated reconnaissance and vulnerability verification tool is designed.This paper proposes to develop a highly automated reconnaissance and vulnerability verification tool. This paper presents the tool functions and conducts the basic design. Finally, we implement and test all the functions specifically to verify the feasibility of the tool functions and highlight the advantages of this tool in terms of automation, retrieval, and use in network security operations.Through the test of the online security simulation range, the results show that this tool can complete the automatic reconnaissance and in-depth data processing of specific targets, and conduct automatic vulnerability detection and verification.

Problem

• reconnaissance
• vulnerability verification
• automation
• scalability
• network security

Innovation

• fingerprint-driven automation
• automated reconnaissance
• vulnerability verification
• POC validation
• network security tool