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Source Code Hack Reveals Suno's AI Was Trained on Millions of YouTube Songs

The breach reportedly exposed source code showing music-scraping practices and customer records for hundreds of thousands of users, according to 404 Media.

  • On Wednesday, 404 Media reported that AI music generator Suno was hacked, exposing internal source code and customer data. An unidentified hacker breached the company, revealing extensive details about its controversial music-scraping practices.
  • Leaked code confirms Suno used proxy firm Bright Data to scrape over 2 million files from YouTube Music, Deezer, and Genius. The company also trawled 420,000 podcasts, chasing roughly a million hours of speech to train its AI models.
  • The breach exposed customer lists containing email addresses, phone numbers, and Stripe payment details, though Suno insisted "no sensitive personal information was compromised." Some affected users confirmed the company never notified them about the incident in November 2025.
  • Although Suno insisted the incident was "quickly contained" and involved only "outdated source code that is no longer in use at Suno," leaked materials contradict those claims of limited scope. The hack provides rare visibility into the company's data-vacuuming operations.
  • The incident fuels ongoing copyright infringement lawsuits from the Recording Industry Association, Universal Music Group, and Sony Music Entertainment. Labels allege Suno unlawfully circumvented YouTube's protections by "stream ripping" copyrighted audio, a practice Suno defends as fair use.
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404 Media broke the news in United States on Wednesday, July 15, 2026.
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