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learning-fuzzing

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List of commits on branch master.
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bea67cb29d99d70ec47cd8aa394cbce06217e890

Update to AFL 2.35b

ppraseodym committed 8 years ago
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43caf57779b40227e433b4d5b3e8b0afe4f46eed

Increment version

ppraseodym committed 8 years ago
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5f6616806c8985ed5cfc316e402d087a0d68a5eb

Use ApplicationRunner

ppraseodym committed 8 years ago
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f7edf1fe37a598079b3060d3d869c36668787ab1

Upgrade to Gradle 3.1

ppraseodym committed 8 years ago
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f8798223a8e83be9f55800dc4b41507c39487346

Upgrade to Spring Boot 1.4.1

ppraseodym committed 8 years ago
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e39b2c09ecfdd30c06f9eb416efa105170957657

Update README.md for libafl

ppraseodym committed 8 years ago

README

The README file for this repository.

Combining learning and fuzzing

This repository contains:

  • activelearner: Prototype tool that uses LearnLib for active learning and that integrates with our libafl library for fuzzing.
  • afl: American Fuzzy Lop (AFL) fuzzer, with the libafl library that is used in prototype tool.
  • benchmarks: A set of learning benchmarks, built with cgenerate.
  • fsmutils: FSM utilities by Rick Smetsers: mintrace is a tool that checks whether a given FSM is minimal and determines minimal separating sequence, cgenerate generates a C program that implements the state machine given by an input dot file.
  • passivelearner: Tool to convert a set of input files to traces with input and output for use with passive learning.
  • rers2015: Rigorous Examination of Reactive Systems (RERS) Challenge 2015 code with build files and various fixes (patches).
  • simpletarget: Simple state machine target, used to test learning implementation.