Research
Decoding the Threat Landscape : ChatGPT, FraudGPT, and WormGPT in Social Engineering Attacks
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Why it matters
The paper documents how weaponized and purpose-built malicious LLMs (FraudGPT, WormGPT) scale social-engineering attacks, helping defenders understand the evolving generative-AI threat landscape.
An arXiv paper by Polra Victor Falade, 'Decoding the Threat Landscape: ChatGPT, FraudGPT, and WormGPT in Social Engineering Attacks,' uses a blog-mining technique to survey how generative AI models empower attackers to craft personalized phishing lures, produce deepfakes, and exploit cognitive biases. The paper also outlines defensive strategies including traditional and AI-powered security measures.