| title | created | modified |
|---|---|---|
Cyber Grand Challenge DARPA machine automated cyber attack |
2022-12-07T06:39:45.668Z |
2022-12-07T10:43:26.007Z |
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 Resources Readme License GPL-3.0 license Stars 13 stars Watchers 3 watching Forks 1 fork Releases No releases published Packages No packages published Contributors 2 @piliguori piliguori Pietro Liguori @taisazero taisazero Erfan Al-Hossami Languages Python 97.6%
Shell 2.0%
Other 0.4%