Hacker Leaks Suno Source Code Exposing Massive Scraping of 2 Million YouTube Music Tracks and Customer Data Breach
A hacker known as ellie.191 has leaked the internal source code of Suno, one of the largest AI music generation services, to 404 Media, revealing extensive unauthorized scraping of copyrighted material from YouTube Music, Deezer, Genius, and other platforms. The leaked files, believed to date from 2023 and 2024, detail how Suno collected over 2 million music tracks and hundreds of thousands of hours of audio, including 152,000 hours from YouTube Music alone, along with 420,000 podcasts totaling nearly 1 million hours. Additional datasets came from Pond5, Jamendo, Freesound, MuseScore, and other libraries, with the company using Bright Data proxies to bypass restrictions and tools to isolate vocals from instrumental tracks. The breach also exposed hundreds of thousands of customer records, including emails, phone numbers, and partial Stripe payment data, which multiple users have already confirmed as accurate. Suno claims the incident was limited, occurred in November 2025, and involved only outdated code, while denying any leak of sensitive payment information. The hacker gained access via an employee account compromised by the Shai-Hulud worm, which stole GitHub and cloud credentials, and stated the attack was driven purely by curiosity rather than a specific motive. This disclosure lends support to ongoing lawsuits from the Recording Industry Association of America alleging direct copyright infringement by Suno.
securitylab_n•Data Breaches & Leaks
