Data Leak of Suno: Old Source Codes and Scraping Scripts
Data Leak of Suno: Old Source Codes and Scraping Scripts
A hacker leaked old source codes of Suno, confirming suspicions about the use of millions of tracks for model training. This raises new questions about the legality of their actions.
Data Leak of Suno: Old Source Codes and Scraping Scripts
A hacker known as ellie.191 leaked old source codes of Suno, confirming suspicions that the model was trained using millions of tracks and texts scraped from YouTube Music, Deezer, Genius, Pond5, Jamendo, Freesound, and IMSLP. The leaked data included sources from 2023-2024 and scraping scripts.
More than 2 million clips were stolen from YouTube Music. The developers specifically downloaded acapellas to obtain clean vocals for training. To bypass YouTube's protections, Suno used a third-party service called Bright Data, and they planned to scrape a million hours of podcasts through PodcastIndex.
Suno defends itself by claiming that training models on publicly available copyrighted materials is considered fair use (a concept in the USA).
The leak occurred back in November 2025, but the company technically kept silent about it. Along with this, customer data was also leaked: emails, phone numbers, and payment information from Stripe. Suno argues that they did not have full card numbers, so they were not legally obligated to notify users.
Currently, the RIAA (Recording Industry Association of America) is suing Suno for copyright infringement, and this leak is a real gift for them.
Why it matters
AnalysisThis data leak marks a significant moment in the Suno case, highlighting the risks associated with using copyrighted materials for AI training. It may also have serious implications for the company in the ongoing legal proceedings.
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