dfuzz

Distributed fuzzing framework using hadoop and map-reduce -- Independent Study Project at IIIT Hyderabad MS CSE

Designed and implemented a novel & scalable distributed security testing system using Hadoop and MongoDB
Utilized a popular mutation based fuzzer (zzuf) for input generation and HDFS to store them
Utilized Map Reduce paradigm to fetch programs from MongoDB and execute them in parallel on thousands of generated inputs and report program exit codes / crashes
Implemented using Python-MapReduce, Hadoop, MongoDB

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
papers		papers
Distributed-Fuzzing-Framework-using-Hadoop-and-Map-Reduce.pdf		Distributed-Fuzzing-Framework-using-Hadoop-and-Map-Reduce.pdf
README.md		README.md
data_C_1.txt		data_C_1.txt
data_C_1_v2.txt		data_C_1_v2.txt
fuzz_mapper.py		fuzz_mapper.py
fuzz_reducer.py		fuzz_reducer.py
input_preprocessing.py		input_preprocessing.py
mapper_C_1.py		mapper_C_1.py
run_mapper.py		run_mapper.py
run_reducer.py		run_reducer.py

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