[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fx5NeRV7JQNJEjm0uDkxoA-q4FjkyXCpRIAoDB7pVgjY":3},{"article":4,"iocs":46,"watch_terms":47,"solutions":48,"lesson":51},{"id":5,"title":6,"slug":7,"summary":8,"ai_summary":9,"brief":10,"url":11,"image_url":12,"published_at":13,"ingested_at":14,"relevance_score":15,"entities":16,"category_id":25,"category":26,"article_tags":30},"93236014-86e2-4882-b5fa-b175283ca1cc","Turning the Tables on Email Scammers With 'ScamBuster'","turning-the-tables-on-email-scammers-with-scambuster-6218b2","An open source, AI-driven system adopts victim personas to engage with phishing attackers, allowing organizations and law enforcement to gather relevant data on cybercriminal operations.","A new open-source AI system called 'ScamBuster' has been developed to combat email scammers. By adopting various victim personas, the system actively engages with phishing attackers. This allows organizations and law enforcement to collect valuable intelligence on cybercriminal operations, tactics, and infrastructure.","Open source AI system 'ScamBuster' adopts victim personas to engage with phishing attackers.","https:\u002F\u002Fwww.darkreading.com\u002Fcyberattacks-data-breaches\u002Fturning-tables-email-scammers-scambuster","https:\u002F\u002Feu-images.contentstack.com\u002Fv3\u002Fassets\u002Fblt6d90778a997de1cd\u002Fblt40912afb4f0c60db\u002F6a5108570c3eea0563b4d4fc\u002FWomantyping_Rawpixel.com_shutterstock.jpg?width=720&quality=80&disable=upscale","2026-07-13T13:00:00+00:00","2026-07-13T14:00:19.669121+00:00",7,[17,20,23],{"name":18,"type":19},"ScamBuster","product",{"name":21,"type":22},"AI","technology",{"name":24,"type":22},"phishing","e7b231c8-5f79-4465-8d38-1ef13aea5a14",{"id":25,"icon":27,"name":28,"slug":29},null,"Threat Intelligence","threat-intelligence",[31,36,41],{"category":32},{"id":33,"icon":27,"name":34,"slug":35},"02371804-cf6d-4449-98de-f1a2d4d9b266","Tools","tools",{"category":37},{"id":38,"icon":27,"name":39,"slug":40},"839da5c1-3c34-47e2-9499-f7201640e3ac","AI Security","ai-security",{"category":42},{"id":43,"icon":27,"name":44,"slug":45},"ade75414-7914-4e23-a450-48b64546ee70","Open Source","open-source",[],[18],{"controls":49,"vendors":50},[],[],{"slug":52,"title":53,"body":54,"framework_refs":55,"framework_notes":64},"ai-powered-scambuster-fights-back-against-phishing-scammers","AI-Powered 'ScamBuster' Fights Back Against Phishing Scammers","Email phishing remains one of the most pervasive and effective attack vectors because attackers operate with relatively low risk while victims lack visibility into criminal infrastructure and tactics. ScamBuster flips this dynamic by deploying AI-driven personas that actively engage scammers, gathering intelligence on their methods, tooling, and networks. This approach highlights a critical gap in traditional defenses: organizations often focus solely on blocking threats rather than understanding and disrupting the adversary's operation. By proactively collecting threat intelligence from live scam interactions, defenders can better anticipate campaigns and share actionable data with law enforcement. This matters because understanding attacker behavior at scale is essential to staying ahead of evolving phishing techniques.",[56,57,58,59,60,61,62,63],"CIS Control 14 – Security Awareness and Skills Training","CIS Control 17 – Incident Response Management","NIST SP 800-61 Rev. 2 – Computer Security Incident Handling Guide","NIST SP 800-150 – Guide to Cyber Threat Information Sharing","NIST DE.CM-1 – Network and system activity monitored for potential cybersecurity events","MITRE ATT&CK T1566 – Phishing","GDPR Article 33 – Notification of a personal data breach to the supervisory authority","ITIL – Problem Management (root cause analysis of recurring phishing threats)",{}]