The Rise of FraudGPT and WormGPT: Dark AI Models Reshaping Cyber Threats

By Bhaswati Guha Majumder

Cybercriminals are constantly innovating, from identity theft to advanced virus attacks. Now, generative AI tools add a new layer of complexity to cybersecurity, with the rise of dark AI.
Emergence of Dark LLMs
Unregulated large language models (LLMs), like dark versions of ChatGPT, are repurposed for illicit activities. These dark LLMs bypass ethical constraints, automating and enhancing phishing schemes, malware development, and scam content production.
FraudGPT : Capable of writing malicious code, designing phishing websites, and generating undetectable malware. It facilitates various cybercrimes, from credit card fraud to digital impersonation.
WormGPT : Generates convincing phishing emails, creates malware, and conducts business email compromise attacks, often targeting specific organizations with tailored phishing attempts.

Expert Concerns

Abhishek Singh, CEO at SecureDApp, describes these models as game-changers in online threats, crafting content that tricks even cautious users. He stresses the need for innovative solutions, user education, and vigilance to combat these threats.
Amit Prasad, CEO of mFilterIt, highlights the escalating threat, noting that dark LLMs complicate the cybersecurity landscape. He underscores the importance of human awareness and proactive monitoring with AI-based threat detection tools. Prasad emphasizes the need for identifying phishing clues and proactive measures by banking regulators and consumer brands to combat these sophisticated threats.
 Takeaways
FraudGPT and WormGPT : are dark AI models used for cybercrime.
Experts : stress the need for awareness, innovative solutions, and vigilance.
Proactive measures and AI-based threat detection tools are crucial for combating these threats.

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