An Information Scraping Framework to Prevent Future attacks

DOI

10.2991/978-94-6463-872-1_74How to use a DOI?

Keywords

DNS; enumeration subdomain; scraping information; finding subdomain; and domain attacks

Abstract

This module discovers possible subdomains associated with a particular primary domain by DNS resolution and brute-force techniques. This technique makes sure that the target’s footprint is comprehensively evaluated. The framework adds an active subdomain validation step following the discovery stage. This function checks validation through active and inactive or stale subdomains by distinguishing all captured subdomains to ascertain was captured is operational boast was capture pilot active titles. This ability is crucial in helping maintain the digital health of the target domain. The third subelement of the main framework is the Verification of Communications with Active Subdomains. This involves acquiring names and relevant direct or indirect links attributed to each subdomain, capturing valuable data for further inquiry or campaign efforts. The combination of these elements makes the framework a powerful asset for web mapping, security analysis, and digital intelligence. With its modular structure, the framework is flexible and adaptable for different cybersecurity and research purposes. This work contributes to the fast marching domain of automated domain analysis in response to the need for detailed and efficient analysis in sophisticated systems.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Raihan Uddin
AU  - Ashish Jain
PY  - 2025
DA  - 2025/11/04
TI  - An Information Scraping Framework to Prevent Future attacks
BT  - Proceedings of the 2nd International Conference on Sustainable Business Practices and Innovative Models (ICSBPIM-2025)
PB  - Atlantis Press
SP  - 1238
EP  - 1246
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-872-1_74
DO  - 10.2991/978-94-6463-872-1_74
ID  - Uddin2025
ER  -