Advanced Fuzzing and Crash Analysis [HITB2021SIN] by Richard Johnson

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 finding vulnerabilities in real world targets.



4 days

Delivery Method




Seats Available



4 days

Delivery Method




ATTEND ONLINE: Virtual via Zoom and LMS

DATE: 23-26 August 2021  

TIME: 09:00 to 17:00 SGT/GMT+8

Date Day Time Duration
23 Aug Monday 09:00-17:00 SGT/GMT+8 8 Hours
24 Aug Tuesday 09:00-17:00 SGT/GMT+8 8 Hours
25 Aug Wednesday 09:00-17:00 SGT/GMT+8 8 Hours
26 Aug Thursday 09:00-17:00 SGT/GMT+8 8 Hours


This training will be conducted virtually

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.


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 determine the impact 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.



  • 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

  • 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 kernels and other architectures with QEMU

  • 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

  • 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 root cause analysis

  • Symbolic and Concolic Execution

    Introduction to constraint solving Concolic execution for test case generation Hybrid fuzzing with concolic execution

Why You Should Take This Course

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.

Who Should Attend


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 matters and be comfortable writing functions in C/C++ and Python to complete exercises. 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.

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