Large language models (LLMs) like ChatGPT are revolutionizing how we interact with technology. But what happens when these powerful tools fall into the wrong hands? A new type of malicious service, dubbed "Mallas," is emerging in the digital underground. These services exploit LLMs to create sophisticated malware, phishing attacks, and deceptive websites, posing a significant threat to cybersecurity. Researchers are exploring how these malicious actors fine-tune LLMs, leveraging vulnerabilities to generate harmful code and explanatory text. This research delves into the operational strategies and exploitation techniques of Mallas, examining how different pre-trained models are manipulated for malicious purposes. Surprisingly, even models with safeguards, like OpenAI's GPT and Malbonne's Llama-2, can be manipulated to generate harmful content. This highlights the urgent need for enhanced security measures and ethical guidelines to prevent the misuse of LLMs. The study's findings emphasize the importance of developing robust AI security tools. By understanding how these models can be exploited, researchers aim to create better detection systems and dynamic security protocols that can adapt to evolving cyber threats. The future of AI security hinges on a collaborative effort between academia, industry, and policymakers to establish ethical guidelines and ensure responsible AI development. As LLMs become more integrated into our lives, safeguarding against their misuse is crucial for maintaining public trust and ensuring the continued advancement of this transformative technology.