Leaked Suno Code Reveals Millions of Songs Scraped from YouTube and Deezer
The leak provides the first concrete evidence of the scale and methods of Suno's training data collection, directly supporting the copyright infringement allegations against the company.
Reporting from 1 source: GIGAZINE.
A leaked source code from AI music generator Suno, obtained by a hacker and provided to 404 Media, reveals the company scraped millions of songs from YouTube Music, Deezer, Genius, and other services to build its training data. The code shows specific collection methods, including use of a proxy service to avoid detection. Suno faces a copyright lawsuit from major music labels.
A hacker using the handle ellie.191 gained access to Suno's systems via a worm called Shai-Hulud and passed source code to 404 Media. The code, from 2023 and 2024, describes scraping audio and lyrics from YouTube Music, Deezer, Genius, and other services. It shows 2,013,545 music clips imported from YouTube Music, and datasets totaling over 113,879 hours from that service alone. The code used Bright Data, a proxy service, to avoid detection. Suno is being sued by the RIAA for copyright infringement.
Synthesized by Yomimono from the 1 cited source below, including Japanese-language reporting where cited, then editorially reviewed before publishing.