AI Makes Reverse Engineering of Software and Malware Easier, Researchers Find

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Summary

Intezer researchers used AI-assisted workflows to recreate parts of Slack and Finder and build a working Turla replicant. The article also reports threat actors’ use of AI for reverse engineering and discusses risks to software IP and security.

Key points

  • Intezer researchers found that AI made it moderately challenging to recreate Apple's Finder and Salesforce's Slack client; the results did not reproduce every internal or server-side component.
  • Their malware-reconstruction harness combined a Python control plane, compiler, virtual machine, static-analysis tools and multiple language models.
  • An orchestrator divided the Turla binary into functions for AI agents to reconstruct and test; the resulting replicant included command handling and file-transfer mechanisms.
  • Anthropic's report described Midnight Blizzard using Claude over several days to reverse-engineer a stolen proprietary drone-vision SDK.
  • The article says a Chinese campaign also used Claude in workstreams that included reverse-engineering endpoint-security products to look for bugs.
  • The article notes that the open-source REA tool and MCP server had become the most popular program listed on GitHub the previous month.
  • Intezer's researcher says keeping server-side infrastructure from customers can limit what reverse engineers can reproduce; encryption and obfuscation may also frustrate analysis.

Article Details

Event Type
Research finding on AI-assisted reverse engineering of mainstream software and malware, alongside reported malicious use of AI models for reverse engineering.
Impact
AI tools can make software and malware reverse engineering faster and more accessible, potentially increasing risks of intellectual-property theft and vulnerability discovery. Intezer researchers recreated substantial parts of Slack and Finder and built a working Turla replica. Separately, Anthropic reported that threat actors used Claude to reverse-engineer a stolen drone-vision software development kit and examine security products for bugs.

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