Dynamic Detection of Anti-Reverse Techniques to Prevent Malware Analysis

Zlonamjerni programi veliki su problem današnjom informatickoj sigurnosti. Kako bi se navedni programi mogli prepoznati i ukloniti potrebna je njihova detaljna analiza. Analiza zlocudnog koda, koja je teška sama po sebi, otežana je mehanizmima za spre- cavanje analize koda koji oduzimaju dragocjeno vrijeme tijekom analize. Tijekom ovog diplomskog rada razvijen je sustav koji bi mogao pomoci u prepoznavanju na- vedenih mehanizama te time ubrzati postupak analize zlocudnih kodova. U radu dan je uvod u problematiku analize zlocudnih kodova, opisan je izgradeni sustavi te su predstavljeni rezultati sustava.Malicious programs are a big problem for today’s informatic security. To be able to recognize and remove malicious programs it is necesseary to analyse them. Malware analysis, which is hard by itself, is made even more difficult by various anti-debug techniques which steel precious time during analysis. During this master’s thesis a system has been designed and implemented which could help to shorten time needed for malware analyis by recognizing anti-debug techniques. In this work intro to pro- blem of malware analysis is given, designed system is described and it’s results are represented