The rise of malicious versions of LLMs, such as dark variants of ChatGPTintensifies cyberwarfare by enabling more sophisticated and automated attacks.
These templates can generate convincing phishing emails, spread disinformation, and create targeted attacks. social engineering messages.
All of these illicit features pose a significant threat to online security and make it more difficult to distinguish genuine content from malicious content.
Cybersecurity researchers in Zvelo recently discovered a significant increase in the use of malicious versions of ChatGPT and other dark LLMs that are changing the nature of cyberwarfare.
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Dark LLM
The misuse of AI is no longer just a threat: it is a growing reality. AI jailbreaks enable entry-level attackers to combat cyber threats, and the rise of dark LLMs challenges advanced security frameworks.
Dark LLMs used OpenAI’s API to create unethical versions of ChatGPT free of restrictions.
These templates are primarily designed for cybercrime because they help malicious actors generate malicious code, exploit weaknesses, and create spear phishing emails.
Below we have mentioned the known dark LLMs:-
- XXXGPT: This is a malicious version of ChatGPT designed for cybercrime and allows various attacks such as botnets, RATs, Crypters and the creation of hard-to-detect malware, making it a serious threat to cybersecurity .
- Wolf GPT: This uses Python to create encrypted malware from large sets of malicious data. It excels at improving attacker anonymity, enabling advanced phishing, and like XXXGPT, it distracts cybersecurity teams with powerful obfuscation.
- VerGPT: WormGPT is completely based on the GPT-J 2021 model which excels in cybercrime with malware creation. Unique features of this template include unlimited characters, chat memory, and code formatting. It prioritizes privacy, quick responses, and dynamic usage through multiple AI models.
- DarkBARD: DarkBARD AI is the malicious version of Google’s BARD AI, which excels in cybercrime. It processes real-time data from the clear web creating disinformation, deepfakes, and managing multilingual communications. It can generate diverse content and integrate with Google Lens, and it is also adept at ransomware and DDoS attacks.
Dark LLMs like the ones mentioned above are spotted in several illicit activities. They synthesize targeted searches, improve phishing schemes, and use voice AI for fraud and early attacks.
AI-powered attacks are on the rise as they automate the discovery of vulnerabilities and the spread of malware. AI improves phishing with convincing fake profiles and evasive malware.
Malicious actors are also deploying deepfakes, disinformation, AI botnets, supply chain attacks, data poisoning, and advanced password mining methods for sophisticated tactics.
The increase in advanced cyber threats from dark LLMs requires a critical reassessment of cybersecurity. Traditional defenses and user reliance on phishing recognition are no longer enough.
AI’s ability to simulate convincing emails shows a major shift that requires a rethink of phishing detection and awareness training.
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