A major security breach exposed internal source code proving that AI music generator Suno scraped millions of copyrighted songs from YouTube, Deezer, and Genius to train its models.
A hacker operating under the handle 'ellie.191' successfully breached the internal database and source code of the prominent AI music generator Suno, leaking evidence that directly exposes how the company built its training datasets.
The leaked files and code show that Suno systematically ripped over two million tracks from YouTube Music, thousands of hours of content from Deezer, and lyrics from Genius, alongside stock libraries and nearly half a million podcasts. This massive data-scraping operation, totaling decades of audio, even targeted acapella vocals on YouTube to refine its synthetic singing capabilities, corroborating long-standing allegations of intellectual property theft.
While Suno has previously admitted in legal filings to training on 'essentially all music files of reasonable quality' on the open web under a 'fair use' defense, these specific technical revelations dramatically strengthen the ongoing multi-million-dollar copyright lawsuits filed against Suno by major record labels, including Sony Music and Universal Music Group. Furthermore, the hacker also compromised the personal information of hundreds of thousands of Suno users, including email addresses and Stripe payment details. As the legal battle intensifies, this leak strips away any remaining anonymity surrounding the data-harvesting engines driving the generative AI music boom.
source: Cox, J. (2026). Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius. 404 Media.
A hacker operating under the handle 'ellie.191' successfully breached the internal database and source code of the prominent AI music generator Suno, leaking evidence that directly exposes how the company built its training datasets.
The leaked files and code show that Suno systematically ripped over two million tracks from YouTube Music, thousands of hours of content from Deezer, and lyrics from Genius, alongside stock libraries and nearly half a million podcasts. This massive data-scraping operation, totaling decades of audio, even targeted acapella vocals on YouTube to refine its synthetic singing capabilities, corroborating long-standing allegations of intellectual property theft.
While Suno has previously admitted in legal filings to training on 'essentially all music files of reasonable quality' on the open web under a 'fair use' defense, these specific technical revelations dramatically strengthen the ongoing multi-million-dollar copyright lawsuits filed against Suno by major record labels, including Sony Music and Universal Music Group. Furthermore, the hacker also compromised the personal information of hundreds of thousands of Suno users, including email addresses and Stripe payment details. As the legal battle intensifies, this leak strips away any remaining anonymity surrounding the data-harvesting engines driving the generative AI music boom.
source: Cox, J. (2026). Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius. 404 Media.
