15 Repositories
Python MOpt-AFL Libraries
source code of Adversarial Feedback Loop Paper
Adversarial Feedback Loop [ArXiv] [project page] Official repository of Adversarial Feedback Loop paper Firas Shama, Roey Mechrez, Alon Shoshan, Lihi
FIRM-AFL is the first high-throughput greybox fuzzer for IoT firmware.
FIRM-AFL is the first high-throughput greybox fuzzer for IoT firmware. FIRM-AFL addresses two fundamental problems in IoT fuzzing
Sound and Cost-effective Fuzzing of Stripped Binaries by Incremental and Stochastic Rewriting
StochFuzz: A New Solution for Binary-only Fuzzing StochFuzz is a (probabilistically) sound and cost-effective fuzzing technique for stripped binaries.
AFL binary instrumentation
E9AFL --- Binary AFL E9AFL inserts American Fuzzy Lop (AFL) instrumentation into x86_64 Linux binaries. This allows binaries to be fuzzed without the
AFLFast (extends AFL with Power Schedules)
AFLFast Power schedules implemented by Marcel Böhme [email protected]. AFLFast is an extension of AFL which is written and maintained by Michal
MOpt-AFL provided by the paper "MOPT: Optimized Mutation Scheduling for Fuzzers"
MOpt-AFL 1. Description MOpt-AFL is a AFL-based fuzzer that utilizes a customized Particle Swarm Optimization (PSO) algorithm to find the optimal sele
Directed Greybox Fuzzing with AFL
AFLGo: Directed Greybox Fuzzing AFLGo is an extension of American Fuzzy Lop (AFL). Given a set of target locations (e.g., folder/file.c:582), AFLGo ge
IJON is an annotation mechanism that analysts can use to guide fuzzers such as AFL.
IJON SPACE EXPLORER IJON is an annotation mechanism that analysts can use to guide fuzzers such as AFL. Using only a small (usually one line) annotati
FairFuzz: AFL extension targeting rare branches
FairFuzz An AFL extension to increase code coverage by targeting rare branches. FairFuzz has a particular advantage on programs with highly nested str
Driller: augmenting AFL with symbolic execution!
Driller Driller is an implementation of the driller paper. This implementation was built on top of AFL with angr being used as a symbolic tracer. Dril
Angora is a mutation-based fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without symbolic execution.
Angora Angora is a mutation-based coverage guided fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without s
Fuzzing the Kernel Using Unicornafl and AFL++
Unicorefuzz Fuzzing the Kernel using UnicornAFL and AFL++. For details, skim through the WOOT paper or watch this talk at CCCamp19. Is it any good? ye
FIRM-AFL is the first high-throughput greybox fuzzer for IoT firmware.
FIRM-AFL FIRM-AFL is the first high-throughput greybox fuzzer for IoT firmware. FIRM-AFL addresses two fundamental problems in IoT fuzzing. First, it
An AFL implementation with UnTracer (our coverage-guided tracer)
UnTracer-AFL This repository contains an implementation of our prototype coverage-guided tracing framework UnTracer in the popular coverage-guided fuz
A Python interface to AFL, allowing for easy injection of testcases and other functionality.
Fuzzer This module provides a Python wrapper for interacting with AFL (American Fuzzy Lop: http://lcamtuf.coredump.cx/afl/). It supports starting an A