Claude Opus 4.6 Reverse Engineers Game Authentication in 7 Minutes Using Ghidra MCP
A developer working on the Kirov server emulator for Command & Conquer games tested Claude Opus 4.6's reverse engineering capabilities using Ghidra's MCP server plugin. The task involved finding the authentication verification method for Kane's Wrath, which uses the same SOAP API and hardcoded public key validation as Red Alert 3.
Setup and Prompt
The developer opened a clean binary in Ghidra, ran only the initial analysis, and gave Claude Opus 4.6 the task with a prompt that included:
- The public key in hex format
- Information about how Red Alert 3 handles authentication
- The same context they would provide to another human reverse engineer
The Ghidra MCP server plugin used was from https://github.com/starsong-consulting/GhydraMCP.
Results
Claude Opus 4.6 completed the reverse engineering task in approximately 7 minutes. The AI:
- Identified the verification method for Kane's Wrath
- Created a patch based on the existing Red Alert 3 patch format
- Renamed all functions, parameters, and data structures it discovered
- Added function comments to the code
The resulting patch for Kane's Wrath can be seen at https://github.com/sokie/cnc_game_proxy/blob/main/ra3-proxy/patch/RA3/PatchAuthKey.cpp#L123. The developer noted that while other servers like cnconline replace the public key, their approach patches the check to allow any key, theoretically making it work with any server.
The Kirov server emulator project, originally supporting only Red Alert 3, now includes auto-match support for RA3, Generals, and Kane's Wrath (coming soon), with more features than some community favorites like cnconline.
📖 Read the full source: r/ClaudeAI
👀 See Also
AI Coding Agents Stall at Deployment: Cowork User Hits Sandbox, Permission, and Context Loss Issues
A developer building a Next.js app with Cowork reports the AI agent built code successfully but failed to deploy — stuck on sandbox restrictions, GitHub push issues, and session context loss.
Exploring the Benefits and Drawbacks: Cloud LLM vs. Local AI Agents
The debate between cloud-based AI models and local AI processing continues to capture interest, with each offering distinct advantages and challenges. Dive into our analysis to understand the key takeaways.
Real-time Conflict Monitor Built with Claude API Analyzes News Impact
A developer used Claude's API to build an automated pipeline that reads conflict news from 100+ sources, classifies by topic/country/severity, generates impact scores (1-100), and produces 3-line smart summaries.
Qwen3.5 35B-A3B MoE runs 27-step agentic workflow locally on mid-range hardware
A developer ran Qwen3.5 35B-A3B MoE at Q4_K_M quantization locally on a Lenovo P53 laptop, executing a 27-step video processing workflow with zero errors. The model handled transcription, subtitle editing, and video processing through sequential tool calls without human intervention.