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Intercepting and Monitoring Potentially Malicious Payloads with Web Honeypots

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  • Rareș-Mihail Visalom

    (Computer Science and Engineering Department, Faculty of Automatic Control and Computers, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania)

  • Maria-Elena Mihăilescu

    (Computer Science and Engineering Department, Faculty of Automatic Control and Computers, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania)

  • Răzvan Rughiniș

    (Computer Science and Engineering Department, Faculty of Automatic Control and Computers, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania)

  • Dinu Țurcanu

    (Faculty of Electronics and Telecommunications, Technical University of Moldova (UTM), MD-2004 Chisinau, Moldova)

Abstract

The rapid development of an increasing volume of web apps and the improper testing of the resulting code invariably provide more attack surfaces to potentially exploit. This leads to higher chances of facing cybersecurity breaches that can negatively impact both the users and providers of web services. Moreover, current data leaks resulting from breaches are most probably the fuel of future breaches and social engineering attacks. Given the context, a better analysis and understanding of web attacks are of the utmost priority. Our study provides practical insights into developing, implementing, deploying, and actively monitoring a web application-agnostic honeypot with the objective of improving the odds of defending against web attacks.

Suggested Citation

  • Rareș-Mihail Visalom & Maria-Elena Mihăilescu & Răzvan Rughiniș & Dinu Țurcanu, 2025. "Intercepting and Monitoring Potentially Malicious Payloads with Web Honeypots," Future Internet, MDPI, vol. 17(9), pages 1-32, September.
    • Handle: RePEc:gam:jftint:v:17:y:2025:i:9:p:422-:d:1751272
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    References listed on IDEAS

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    1. Kon Papazis & Naveen Chilamkurti, 2024. "Hydrakon, a Framework for Measuring Indicators of Deception in Emulated Monitoring Systems," Future Internet, MDPI, vol. 16(12), pages 1-20, December.
    2. Xingyuan Yang & Jie Yuan & Hao Yang & Ya Kong & Hao Zhang & Jinyu Zhao, 2023. "A Highly Interactive Honeypot-Based Approach to Network Threat Management," Future Internet, MDPI, vol. 15(4), pages 1-31, March.
    3. Mohamed Mesbah & Mahmoud Said Elsayed & Anca Delia Jurcut & Marianne Azer, 2023. "Analysis of ICS and SCADA Systems Attacks Using Honeypots," Future Internet, MDPI, vol. 15(7), pages 1-17, July.
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