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Dynamic report generation for Pentesting

Authors: Dumitru Maroz, Alexandru;

Dynamic report generation for Pentesting

Abstract

Cyber-attacks are growing in both number and impact, so security teams need faster ways to analyse systems and share their findings. This master’s project adds a new scalable report generator to Huntdown, a service platform that offers a handy set of tools for pentesting. The work focuses on two well-known tools, Nmap and Sqlmap, but the system is designed in a generic way that lets developer to integrate new attacks easily. In addition, these reports include natural language summaries produced by large language models (LLMs) and supports different output formats, such as PDF or TXT. Finally, extra features have been implemented to facilitate the development of Huntdown and the report generation system.

Country
Spain
Related Organizations
Keywords

Golang, Automation, Cybersecurity, Docker, Computer security, LLMs, Seguretat informàtica, Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica, Report generation

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green