3-DAY TRAINING 7 – Advanced Fuzzing & Crash Analysis


CAPACITY: 20 pax


EUR2599 (early bird)

EUR3199 (normal)

Early bird registration rate ends on the 28th of February


This class is designed to introduce students to the best tools and technology available for automating vulnerability discovery and crash triage with a focus on delivering a practical approach to applying this technology in real deployments at any scale.

Through an applied understanding of introductory program analysis and binary translation, techniques for finding various bug classes and methods for improved crash debugging will be discussed. We will take a deep dive into fuzzing, covering all aspects of this practical approach to finding bugs. As the most approachable and versatile of the available tools, the student will apply various fuzzing techniques to several real-world pieces of software. Students will learn strategies for analyzing attack surface, writing grammars, and generating effective corpus. We will explore in detail the latest innovations such as harnessing code coverage for guided evolutionary fuzzing and symbolic reasoning for concolic fuzzing.

We approach crash analysis through the lens of scriptable debuggers and program analysis. We will apply tools like reverse debugging and memory debuggers to assist in interactively diagnosing root cause of crashes. Then we will leverage the power of dynamic taint tracking and graph slicing to help isolate the path of user controlled input in the program and identify the exact input bytes influencing a crash. Lastly, we will look at possible ways to aid in determining severity of a vulnerability.

This class will focus on x86/x64 architecture and target file parsers, network parsers and browsers on both Windows and Linux environments.

Who Should Attend

This class is meant for professional developers or security researchers looking to add an automation component to their software security analysis. Students wanting to learn a programmatic and tool driven approach to analyzing software vulnerabilities and crash triage will benefit from this course.

Key Learning Objectives

  • Learn an effective strategy for using the latest tools & technology to discover vulnerabilities
  • Master the latest fuzzing techniques for file, network, and browser fuzzing
  • Learn grammar fuzzing, evolutionary fuzzing, in-memory fuzzing, and symbolic fuzzing
  • Best practices for corpus generation, fuzzer deployment, and targeting
  • Leverage dynamic binary translation for efficient tracing and deep program inspection
  • Learn how to leverage time travel debugging for crash triage on Linux and Windows
  • Introduction to intermediate languages for program analysis
  • Apply powerful techniques like taint analysis and graph slicing towards crash analysis

Prerequisite Knowledge

Students should be prepared to tackle challenging and diverse subject matter and be comfortable writing functions in in C/C++ and python to complete exercises involving completing plugins for the discussed platforms. Attendees should have basic experience with debugging native x86/x64 memory corruption vulnerabilities on Linux or Windows.

Hardware / Software Requirements

Students should have the latest VMware Player, Workstation, or Fusion working on their machine

Agenda – Day 1:

Analysis of generational and mutational fuzzing

Attack surface analysis

Effective mutation engines

Effective corpus generation

Protocol and file format grammars

Crash detection

Fuzzing file and network parsers with coverage guided fuzzing

Fuzz any Ubuntu/Debian package with AFL

Modifying targets and writing harnesses with LibFuzzer

Fuzzing closed source parsers with QEMU and Dyninst

Best practices for high performance fuzzing

System configuration

Corpus generation techniques

Cross-fuzzing difficult parsers

Agenda – Day 2:

Dynamic Binary Translation for Fuzzing and Triage

Effectively instrument Linux and Windows with binary translation

Introduction to Valgrind, Dr. Memory, and Address Sanitizer

Introduction to PIN, DynamoRIO, and Dyninst internals

Identifying hook locations with Debuggers and DBI

Fuzzing parsers with WinAFL

Optimizing harnesses for exported APIs

Hooking closed source command line applications

Deep hooks into private library functions with global state

Fuzzing internal data streams in complex OLE objects

Fuzzing browsers with evolutionary grammar fuzzing

Understanding grammars and object models

Fuzzing object models with dynamic grammar fuzzing

Improving grammar fuzzers with feedback metrics

Agenda – Day 3:

Time Travel Debugging

Introduction to time travel debugging

Crash analysis with reverse debugging on Linux

Crash analysis with reverse debugging on Windows

Taint assisted root cause analysis

Introduction to dynamic taint analysis

Taint slicing for for root cause analysis

Symbolic and Concolic Execution

Introduction to constraint solving

Concolic execution for test case generation

Location: Training Rooms Date: May 6, 2019 Time: 9:00 am - 6:00 pm Richard Johnson