The rise of malicious versions of LLMs, like dark variants of ChatGPT, is escalating cyber warfare by enabling more sophisticated and automated attacks. 
These models can generate convincing phishing emails, spread disinformation, and craft targeted social engineering messages. 
All these illicit capabilities pose a significant threat to online security and worsen the challenge of distinguishing between genuine and malicious content.
Cybersecurity researchers at Zvelo recently discovered a significant rise in using malicious versions of ChatGPT and other dark LLMs that shift the nature of cyber warfare.
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The misuse of AI is no longer just a threat as it’s a growing reality. The AI jailbreaks empower beginner attackers for cyber threats, and the rise of dark LLMs challenges advanced security frameworks.
The dark LLMs used OpenAI’s API to craft unethical versions of ChatGPT, free from restrictions. 
These models are primarily designed for cybercrime as they help threat actors generate malicious code, exploit weaknesses, and craft spear-phishing emails.
Here below, we have mentioned the known dark LLMs:-
Dark LLMs like the ones mentioned above are spotted in several illicit activities. They synthesize targeted research, enhance phishing schemes, and use voice-based AI for fraud and early-stage attacks.
AI-driven attacks are on the rise as they automate vulnerability discovery and malware spread. AI enhances phishing with convincing fake profiles and evasive malware. 
Threat actors also deploy deepfakes, disinformation, AI botnets, supply chain attacks, data poisoning, and advanced password guessing for sophisticated tactics.
The surge in advanced cyber threats from dark LLMs demands a critical re-evaluation of cybersecurity. Traditional defenses and user reliance on phishing recognition are no longer sufficient. 
AI’s capacity to simulate convincing emails shows a major shift which presents the necessity of a rethinking of phishing detection and awareness training.
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