I fine-tuned an AI model on 50k malware samples

I’ve fine-tuned an open-source AI model on a dataset of 50,000 malware samples, including stealers, worms, keyloggers, and more, enabling it to generate malware code from vague prompts. Perfect for security researchers and red-teamers, this uncensored model runs locally via Ollama, with both the model and dataset fully open-source for anyone to explore, enhance, or contribute to. Ideal for testing defenses or studying attack vectors, it’s a powerful tool for ethical cybersecurity research—just use it responsibly! Check out the repo https://github.com/sarwaaaar/RABIDS to get started and share your feedback or ideas!

submitted by /u/Impossible_Process99
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from hacking: security in practice https://ift.tt/PrlVpJu