Source Code Hack Reveals Suno's AI Was Trained on Millions of YouTube Songs
A source code hack of the AI music company Suno revealed that the platform was trained on millions of songs scraped from YouTube, Deezer, and other music services. Suno claims the breached code is outdated and that no sensitive user data was compromised.
Why it matters
This incident fuels the ongoing legal and ethical debate regarding copyright infringement and data scraping practices in the generative AI industry.
Musicians, streaming services and record labels have been claiming for years that AI music services use their vast collections of human-created music to build their artificial intelligence tools. Now we have a clearer picture of how Suno , an AI company that helps people create AI audio clips and songs, created its music.
A hack of Suno's source code reveals that it trained its AI by scraping massive amounts of music and lyrics from platforms like YouTube Music, Deezer, Genius and stock music libraries, 404 Media reported Wednesday.
The hacker, who goes by the moniker ellie.191, used a supply chain attack vector in November 2025. Screenshots and information shared with 404 Media confirm some of the origins of the company's training data from 2023 and 2024.
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