Cyber Grand Challenge Darpa Machine Automated Cyber Attack
The DARPA competition utilizes machine learning to generate software exploits in assembly and Python using Neural Machine Translation for natural language descriptions. This includes modifying Java bytecode and filtering HTML requests.
analyze source code first, then plan attack or fix code
search for darpa cgc on github
cyber-challenge Some toy examples, to demonstrate ideas that could be used in DARPA’s Cyber Grand Challenge including modifying java bytecode and filter out html requests on the fly
EVIL (Exploiting software VIa natural Language) is an approach to automatically generate software exploits in assembly/Python language from descriptions in natural language. The approach leverages Neural Machine Translation (NMT) techniques and a dataset that we developed for this work.
Topics
linux exploit encoder assembly decoder dataset seq2seq shellcode nmt software-exploitation codebert
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@piliguori
piliguori Pietro Liguori
@taisazero
taisazero Erfan Al-Hossami
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