AI-Driven Code Analysis Reveals Vulnerability Behind $100M Theft

A recent experiment using an AI model has rediscovered a vulnerability linked to the $100M ColdCard theft. The model, GLM 5.2, was able to find the weakness in approximately 20 minutes for about $2.

This is significant because it shows how cheaply attackers and developers can now examine code that protects large amounts of cryptocurrency.

The experiment did not establish that AI was involved in the theft, but rather demonstrated its potential as a tool for security research. According to Haseeb Qureshi, managing partner at Dragonfly, 'GLM 5.2 running for 20 minutes costs about $2. So what does that mean? It means we are in a new world.'

The use of AI in security research has the potential to revolutionize the way developers and attackers approach code analysis. While it is not a replacement for human expertise, AI can quickly examine large amounts of code and identify potential weaknesses.