Applied Fuzzing and Vulnerability Analysis

Live On-Site / Live Virtual

Master Fuzzing for Vulnerability Discovery

Learn to integrate fuzzing into your Secure Development Lifecycle with hands-on triage analysis experience. Cover coverage-guided fuzzing, crash analysis, and vulnerability assessment.

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What You Will Learn

This training empowers you to harness the power of fuzzing, an automated technique that uncovers hidden vulnerabilities in software. Manual testing for these weaknesses in complex codebases is a struggle. Fuzzing automates this process, feeding your software unexpected inputs to expose cracks in its armor. By integrating fuzzing into your Secure Development Lifecycle (SDLC), you can proactively identify and fix vulnerabilities early, saving time and resources.

You will gain expertise across multiple fuzzing paradigms -- from coverage-guided fuzzing with AFL++ and libFuzzer to grammar-based and protocol-specific techniques. The course covers both Linux and Windows targets, including cross-platform fuzzing with QEMU for ARM binaries. Through hands-on labs, you will experience the complete "Crash, Detect, and Triage" workflow, learning to reproduce crashes, perform root cause analysis, and assess exploitability using sanitizers such as ASAN, MSAN, and TSAN.

By the end of this course, you will be equipped to set up continuous fuzzing infrastructure, integrate fuzzing into CI/CD pipelines, and systematically discover vulnerabilities in real-world software targets.

Key Objectives

✓Understand fuzzing fundamentals, mutation strategies, and coverage metrics
✓Set up and operate AFL++ for coverage-guided fuzzing
✓Write effective libFuzzer harnesses for targeted fuzzing
✓Manage corpus generation, minimization, and dictionary creation
✓Reproduce crashes and perform root cause analysis
✓Use ASAN, MSAN, and TSAN for exploitability assessment
✓Fuzz protocol implementations, file format parsers, and APIs
✓Perform cross-platform fuzzing with QEMU for ARM targets
✓Fuzz Windows binaries with WinAFL
✓Integrate fuzzing into CI/CD pipelines and continuous testing workflows

All our live trainings are highly customizable. We can tailor the content to cover topics specific to your team's needs. Contact us for more details.

Syllabus

Module 1: Fuzzing Fundamentals +

•Fuzzing theory and types of fuzzers
•Coverage metrics and instrumentation
•Corpus generation and management
•Mutation strategies and custom mutators
•Address and memory sanitizers (ASAN, MSAN)
•Setting up the fuzzing environment
•Selecting and profiling fuzzing targets

Module 2: Coverage-Guided Fuzzing +

•AFL++ internals and setup
•libFuzzer harness writing
•Instrumentation and compilation flags
•Corpus minimization and dictionary creation
•Parallel fuzzing and performance optimization
•Improving code coverage with grammar-based approaches
•Persistent mode for high-throughput fuzzing

Module 3: Crash Triage & Analysis +

•Crash reproduction and deduplication
•Root cause analysis methodology
•Exploitability assessment with sanitizers (ASAN, MSAN, TSAN)
•Analyzing targets with debuggers
•Vulnerability classification and severity rating
•Plotting and measuring code coverage improvements

Module 4: Target-Specific Fuzzing +

•Protocol fuzzing and network target fuzzing
•File format fuzzing with custom grammars
•API and library fuzzing
•Cross-platform architecture fuzzing with QEMU
•ARM architecture introduction and ARM binary fuzzing
•WinAFL internals and fuzzing Windows binaries
•Fuzzing browser engines and SSL libraries

Module 5: Integration & Automation +

•CI/CD integration for continuous fuzzing
•Setting up ClusterFuzz and OSS-Fuzz
•Fuzzing infrastructure design and scaling
•Symbolic execution fuzzing
•Integrating alerts and notifications with fuzzing stats
•Reporting and vulnerability disclosure
•Capture the Crash exercises

Prerequisites

To successfully participate in this course, attendees should possess the following:

• Working knowledge of cybersecurity and pentesting fundamentals
• Working knowledge of fuzzing concepts and corpus generation is recommended but not required
• Basic Windows and Linux skills and command-line proficiency
• Understanding of fundamental programming concepts and looping structures in at least one higher-level language
• Basic Windows/Linux binary assembly knowledge is recommended but not required

Duration

3 Days

Ways To Learn

Live Virtual
Live On-Site

Who Should Attend?

Software developers, security engineers, QA engineers, and vulnerability researchers interested in automated testing.

Laptop Requirements

• Laptop with 8+ GB RAM and 40 GB hard disk space
• Cloud lab instances provided
• Administrative access on the system
• Setup instructions sent before the course

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Trusted Training Providers

Our trainers boast more than ten years of experience delivering diverse training sessions at conferences such as Blackhat, HITB, Power of Community, Zer0con, OWASP Appsec, and more.