# GhydraMCP Video Script: AI-Assisted Reverse Engineering
\## \[0:00-0:10] Introduction
\*Visual: Slide 1 (Title + Key Points)\*
\*\*Narrator\*\*: “Hey everyone! Today, we’re diving into \*\*GhydraMCP\*\*—a project that’s revolutionizing binary analysis by letting you ask questions in plain English. No more wrestling with complex code—just talk to AI like you’re chatting with a colleague!”
\## \[0:11-0:25] The Problem: Why We Need Change
\*Visual: Slide 2 (Problem Statement boxes)\*
\*\*Narrator\*\*: “But first—why does this matter? Malware analysis today is stuck in a rut:
\- \*\*Expertise Bottleneck\*\*: Only senior pros can dig deep into binaries, leaving teams understaffed.
\- \*\*Time-Intensive\*\*: Manual analysis takes 2–4 hours per sample—slowing down threat hunting.
\- \*\*Knowledge Gap\*\*: Junior analysts struggle with assembly language, limiting team growth.
\- \*\*Incident Delays\*\*: Critical tasks create bottlenecks, leaving organizations vulnerable during attacks.
In short: \*More malware, fewer experts.\* We need a better way.”
\## \[0:26-0:40] The Solution: GhydraMCP Architecture
\*Visual: Slide 3 (Core Components + Revolutionary Capabilities)\*
\*\*Narrator\*\*: “Enter \*\*GhydraMCP\*\*. It bridges Ghidra—an industry-standard reverse engineering tool—with AI assistants. Here’s how:
\- \*\*Core Components\*\*: A modular plugin exposes Ghidra’s power via API; an MCP Bridge translates your words into technical commands; and multi-instance support lets you analyze multiple binaries at once.
\- \*\*Revolutionary Features\*\*: Ask things like \*‘Show me suspicious API calls’\* (conversational analysis), get auto-detected vulnerabilities (automated insights), or collaborate in real-time with your team—all through natural language.”
\## \[0:41-0:55] Live Demo: AI-Powered Malware Analysis
\*Visual: Slide 4 (Live Queries + Demo Setup)\*
\*\*Narrator\*\*: “Let’s see it in action! We’ll analyze a suspicious Windows executable using natural language. Watch this:
\- Query 1: \*“What are the main capabilities of this malware?”\* → Auto-categorizes functions, spots injection tactics.
\- Query 2: \*“Identify cryptographic patterns”\* → Reveals AES constants, XOR obfuscation, even hardcoded keys.
\- Query 3: \*“Show potential vulnerabilities”\* → Flags buffer overflows, unchecked inputs, insecure operations.
All in seconds—no manual digging required.”
\## \[0:56-1:10] Technical Implementation: Get Started Fast
\*Visual: Slide 5 (Environment + Installation Steps)\*
\*\*Narrator\*\*: “Ready to try it? Setup is simple:
\- \*\*Requirements\*\*: A VM/isolated env, Ubuntu/Windows, 8GB+ RAM, Ghidra 11.2+, Java 17+, Python 3.8+.
\- \*\*Steps\*\*:
1. Download the GhydraMCP repo from GitHub.
2. Install the plugin in Ghidra, restart, and launch the MCP server.
3. Connect Warp Terminal (our AI client) to the bridge.
4. Verify logs—done! You’re now analyzing binaries with AI.”
\## \[1:11-1:20] Conclusion
\*Visual: Recap of Key Points + Call to Action\*
\*\*Narrator\*\*: “GhydraMCP turns binary analysis from a chore into a conversation. Whether you’re a junior analyst or a seasoned pro, it saves time, scales teams, and keeps you ahead of threats. Ready to transform your workflow? Check out the GitHub repo and join the future of reverse engineering!”
\*\*End Screen\*\*: Project logo, GitHub link, contact info.
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\*Note: Adjust timing based on video length (aim for 60-90 seconds total). Use screen recordings of Ghidra/Warp Terminal during the demo segment for visual impact!\*