· ai-devtools
AI reverse engineering lets researchers add AI text autocomplete feature to Slack
The team successfully integrated a novel feature into the reconstructed Slack application: AI text autocomplete, which operates using a compact, locally hosted model.
This achievement followed the work of Intezer researchers who leveraged AI agents to reconstruct the source code for several pieces of software. The targets of this reverse engineering effort included Apple’s Finder, a TinyTurla-NG sample, and Slack itself. The researchers derived this code by examining the already distributed programs alongside the accompanying vendor documentation. Cisco Talos has linked the backdoor family responsible for this to the Turla group. This demonstration raises questions for software providers whose business models rely on the secrecy of their source code through compilation. The initial publication detailing how AI reverse engineering allowed the addition of a new feature to Slack was originally featured on Help Net Security.
Why it matters
This demonstrates a significant capability in AI-driven reverse engineering, challenging traditional software protection methods. Developers should watch how this technology impacts proprietary codebases and intellectual property security.
