Artificial Intelligence and Large Language Models are transforming how Android applications are reversed and analyzed. This training shows you how to integrate AI directly into your reverse engineering workflow, combining static, dynamic, and fuzzing techniques with AI-powered automation.
You’ll learn to set up and use Jadx MCP and Ghidra MCP with LLM support to decompile, annotate, and refactor APKs and native libraries. You’ll generate Frida scripts and fuzzing harnesses automatically, and use AI to create reports and Nuclei templates from your findings.
Through hands-on labs, you’ll practice AI-assisted decompilation, dynamic instrumentation, vulnerability discovery, and automated reporting — culminating in a final project where you reverse a complex APK using AI at every step.
This training blends real-world Android reversing with cutting-edge AI tools to give you faster, more powerful analysis workflows.
Trusted by Security Engineers at Leading Companies
Automate and accelerate Android reverse engineering and analysis using AI/LLMs.
Integrate AI into tools like Jadx and Ghidra.
Use AI to generate Frida scripts, fuzzing harnesses, and annotated decompiled code.
Identify vulnerabilities and analyze APKs more efficiently.
Training overview
Installing required tools: Jadx, Ghidra, Frida, Python LLM clients
Introduction to MCPs (Multi-Client Plugins)
What LLMs can do for reverse engineering
Prompt engineering basics
Online vs local LLM models
Tools: GPT-4, Claude, DeepSeek, StarCoder, Llama3
Reverse engineering APKs with Jadx
Using AI to annotate decompiled code
Recovering class names, enums, constants
Reverse engineering native .so files
Using AI inside Ghidra to annotate disassembly
Generating and executing Ghidra scripts with LLM support
Refactor and clean decompiled Java/smali
Use AI for control flow simplification, better naming
Reverse a full APK using Jadx + AI
Summarize functionality, permissions, and logic
Deliver a short AI-assisted report
Basics of Frida (Java + JNI hooking)
Prompting LLMs to generate Frida scripts
Auto-generate Java method hooks, native interceptors
Create AI-generated Nuclei templates
Connect APK analysis to backend scanning
Combine static APK info with Nuclei tests
Auto-generate vulnerability reports
Summarize technical data for exec/management
Explain a target function to LLM
Generate fuzz harnesses for Java/native
Integrate with AFL++, libFuzzer
Reverse a more complex APK (obfuscation + native)
Use AI for annotation, Frida script, fuzzing, and report
Deliver final findings
Q&A, feedback, and resources
This training was selected and taught at RingZer0, one of the world’s leading security & training conferences in the North America.
🔑 Immediate access to all the content
⏱️ Hours of curated and practical knowledge
🎞️ Easy-to-digest, on-demand videos
👨💻 Hands-on exercises & labs
♾️ Lifetime access
📖 Digital and printable slides
📝 Assignments to apply your new skills
💯 Certificate of completion
This course is for anyone looking for a hands-on and pragmatic approach to apply AI/LLMs in Android reverse engineering and analysis, including:
✔ Mobile reverse engineers
✔ Security engineers
✔ Vulnerability researchers
✔ Pentesters & Red team professionals
Basic understanding of Android application structure and components (APK, manifest, smali/Java)
Basic knowledge of reverse engineering concepts (Jadx, Ghidra, Frida is a plus)
Familiarity with Python scripting
Some experience with using LLMs (e.g., ChatGPT, Claude) is helpful but not required
Optional: previous experience with fuzzing or mobile vulnerability analysis
⚠️ This training is currently in pre-sales and it will be release in less than 3 months.
We speak, train, and compete at the world’s most respected security conferences.
Please, contact us here if you have any other question!