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Pentesting automation platform

Authors: Iglesias Aulinas, Marc;

Pentesting automation platform

Abstract

With the development of society, informatics is gaining more relevance every day. All businesses need databases and programs to track everything that happens. Everyone uses their cellphones every day at all times, and they also have computers at home for personal use. Airplanes and cars have a lot of technology nowadays to make everything safer. However, while technology allows us to do things faster and safer, using so much technology has its problems, and one of them is the importance of making these systems and programs secure. To overcome these problems, there are different ways to do it, but one of them is pentesting, which consists of trying to attack, as if it were a real attack, the different systems that make up the whole business or whatever we are trying to attack. Huntdown is a program that lets you carry out different attacks on specific servers and gives you feedback on what the attack did. This can be useful to know if something in the system we are testing is not as secure as it should be or if something can be improved. In this project, we have improved the feedback it gives by taking every part of the command output and putting it into a JSON that is readable and useful to understand what is going on. The solution we used is based on regex, trying to take every part of the command output and organize it to be able to study if the security of the system is enough or if it should be improved.

Country
Spain
Keywords

Artificial intelligence, Software engineering, 000, pentesting, Intel·ligència artificial, Cryptography, Llenguatges de programació, Criptografia, Programming languages (Electronic computers), Enginyeria de programari, Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica, 004, automation

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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