GoKawiilGambit finds AI-agent campaign stole 600,000 card records from online retailers
Cybersecurity startup Gambit says a financially motivated threat actor has been using open-source AI agent tools since July to attack online retailers at scale, breaching at least 27 companies in a five-day span and launching over 100 attacks. The operation reportedly stole more than 600,000 valid card records from two companies and planted skimmer malware on five others, using three tools—Strix for scanning, Cairn for exploitation, and Hermes, powered by Claude Opus 4.6, for orchestration and tactical decisions.
GoKawiil's interpretation of the reporting above, not reported fact.
The case suggests attackers can now direct AI systems with minimal instructions to autonomously scan, exploit, and deploy malware across dozens of targets daily, potentially lowering the skill and effort needed to run large-scale card-theft campaigns. Gambit's identification of a likely Chinese operator giving only high-level goals to the agents points toward a shift where human oversight in cybercrime operations could shrink substantially, though attribution and full scope remain researcher assessments rather than confirmed facts.
- Attackers stole over 600,000 credit card records from two companies using AI-driven tools.
- Three linked AI frameworks—Strix, Cairn, and Hermes—handled scanning, exploitation, and orchestration.
- At least 27 companies were compromised in a five-day period with over 100 attacks launched.
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Published there as: “Malicious AI agents steal 600K credit cards, infect 100+ sites with skimmers”
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