Reverse engineering a Viking VOIP phone protocol with Claude Code — Boris Starkov, Eleven Labs

· Source: AI Engineer · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Advanced, long

Summary

Boris Starkov of Eleven Labs successfully reverse-engineered the proprietary protocol of a legacy Viking VOIP phone, which previously required Windows XP-compatible software and had stumped senior engineers for a year. Utilizing Claude Code, the project involved connecting the phone to a Mac via a router, scanning ports, and brute-forcing two-letter commands to discover valid interactions. To overcome a persistence issue where settings were not saved, a Windows virtual machine running the phone's software was used with a TCP proxy on the Mac to intercept and analyze communication. This man-in-the-middle approach revealed a critical "TS" command with a one-byte checksum, which Claude Code then reverse-engineered, enabling full control and persistent configuration. The resulting "skill" for programming the phone directly was open-sourced, costing \$10-\$100 in tokens.

Key takeaway

For AI Engineers facing legacy hardware integration challenges, consider leveraging large language models like Claude Code for reverse engineering. You can overcome undocumented protocols and compatibility issues by employing AI to orchestrate port scanning, command brute-forcing, and man-in-the-middle traffic analysis. This approach can significantly accelerate protocol discovery and enable new integrations without proprietary software, potentially extending to other hardware devices.

Key insights

Claude Code enabled a software engineer to reverse-engineer a legacy VOIP phone protocol, demonstrating AI's capability in hardware hacking.

Principles

Method

The process involved port scanning, brute-forcing two-letter commands, setting up a Windows VM with a TCP proxy to intercept traffic, and analyzing binary payloads to crack a one-byte checksum for command persistence.

In practice

Topics

Best for: Software Engineer, AI Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Engineer.