Haseeb Qureshi, managing partner at Dragonfly, has stated that a mere investment of $2 in AI-driven code inspection could have thwarted the recent hack of Coldcard wallets. He emphasized that the current landscape of cybersecurity revolves around financial expenditure, especially as AI technologies become more adept at identifying vulnerabilities.
“People are not appreciating one of the biggest takeaways from the COLDCARD hack,” Qureshi remarked, highlighting the importance of investing in advanced AI tools for vulnerability scanning.
Qureshi's analysis indicates that the effectiveness of a product's security hinges on the financial resources allocated by developers for AI-assisted code scrutiny, juxtaposed against the investments made by cyber attackers. He pointed to a recent incident where the AI model Claude reportedly exploited Coldcard's vulnerability within eight minutes, although he expressed doubts regarding the reliability of this timeframe, suggesting it may have utilized publicly accessible information.
In a subsequent test, another user employed GLM 5.2 in an offline environment, which extended the detection time to 20 minutes. Qureshi calculated the cost of scanning based on the API pricing from Zhipu AI, estimating that the total expense would amount to approximately $2, reinforcing his conclusion that strengthening security with AI could have effectively identified the Coldcard vulnerability.




