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hello everyone my name is Abhishek and this is additive we are part of a larger as well forensic team there we specialize in memory forensic and we ship a feature called the file list attack detection which which got announced and ignite so we detect in memory at the the product file list attack detection is focused on detecting in memory of all words so today we are going to present a new shellcode detection approach and we will see what are the unique capabilities of that model so letamp;#39;s take a look at the agenda so weamp;#39;ll introduce what shellcode and the usage then as it a will take you through a reverse engineering of a sample vulnerability of RC vulnerability there will use a shellcode then Iamp;#39;ll discuss the state machine based approach and how we are able to detect off the scale itself code and there on time aspects of it how exactly it works in the run time after after that thereamp;#39;s a couple of demo one the static analyzer and the state machine where
