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Chronicles

The story behind the story

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A hacker claims to have accessed Suno's user info and source code, showing how it scraped music; Suno says no sensitive info was compromised in a November hack

Hacked source code reveals how Suno scraped decades worth of music and podcasts from the internet to train its AI tool.

404 Media Jason Koebler

Context & Ripple Effects

Suno’s security incident arrives as the company has scaled rapidly, reporting more than 2 million paying users and roughly $300 million in annualized revenue as of February, alongside funding rounds that substantially increased its valuation.

The reported code disclosure also lands amid broader attention to large-scale music collection: Anna’s Archive has separately claimed to have scraped tens of millions of music files and extensive track metadata from Spotify.

First-order effects

  • Suno must contain the reported November intrusion and substantiate its claim that no sensitive user information was compromised, while assessing the exposure created by source-code access.
  • The disclosed code gives outsiders a more concrete view of how Suno assembled training material, increasing immediate scrutiny of its data-collection practices.

Second-order effects

  • Music-rights holders and other parties evaluating Suno’s training practices gain potential technical evidence to examine, rather than relying only on public descriptions of the product.
  • Other AI-music providers face added pressure to tighten source-code security and to document the provenance of training data that could become visible through an incident.

Third-order effects

  • If code leaks repeatedly expose web-scale training pipelines, data provenance and security controls could become central competitive and legal-risk factors for generative-media companies, not merely internal engineering concerns.
  • The combination of mass music scraping claims and AI training-data scrutiny points toward a more contested market for music corpora, potentially favoring clearer licensing and traceability where companies can provide it.

The trend: This is one data point in the collision between rapidly scaling generative-music businesses and growing scrutiny of how large music datasets are acquired, secured, and used for training.

Discussion

  • @jason_koebler Jason Koebler on x
    Customer emails/phone numbers & Stripe payment details were also hacked; no one was ever notified because the company deemed it wasn't important to. Full story here: https://www.404media.co/...
  • @markriedl Mark Riedl on bluesky
    Hack reveals that Suno (AI music generator) was trained on copyrighted music www.404media.co/hack-reveals...
  • @fredrikhathen Fredrik Häthén on bluesky
    Well, it's not like we didn't already know this, but it's nice to have confirmation I guess www.404media.co/hack-reveals...  I want genAI to burn to cinders and everyone who gleefully uses it to prove some sort of point or spite artists to never have a cool side of a pillow ever …
  • @josephcox Joseph Cox on bluesky
    New: the highly controversial AI music generator Suno was hacked.  The hacker sent us Suno source code; it shows the company scraped YouTube Music, Deezer, and Genius.  In all, Suno scraped *decades* worth of music from the internet.  Obviously didn't pay artists www.404media.co/…
  • @jasonkoebler Jason Koebler on bluesky
    Scoop: The AI music generator Suno was hacked.  Hacker shared source code that shows how the tool was made and part of the music and podcasts that were scraped to create it.  —  Decades worth of music, lyrics, and podcasts from YouTube, Deezer, Genius & more  —  www.404media.co/h…
  • @brucel Bruce Lawson on bluesky
    The thing that offends me the most about how A.I. “music” generator Suno scraped decades worth of music without permission, attribution or payment is that its CEO said “I think the majority of people don't enjoy the majority of the time they spend making music.” www.404media.co/h…
  • @tyleraking.com Tyler King on bluesky
    Spin up that class action lawsuit.  —  “The AI music generation tool Suno scraped millions of songs and lyrics from YouTube Music, Deezer, and Genius, as well as from the stock music libraries Pond5, Jamendo, Freesound, the International Music Score Library Project, and podcasts …
  • r/SunoAI r on reddit
    Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius |  Hacked source code reveals how Suno scraped decades worth of music and podcasts from the internet to train its AI tool
  • r/hiphopheads r on reddit
    Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius
  • r/BetterOffline r on reddit
    Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius
  • r/technology r on reddit
    Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius |  Hacked source code reveals how Suno scraped decades worth of music and podcasts from the internet to train its AI tool
  • r/pwnhub r on reddit
    Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius |  Hacked source code reveals how Suno scraped decades worth of music and podcasts from the internet to train its AI tool.
  • r/Music r on reddit
    Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius
  • r/aiMusic r on reddit
    Suno training data leaked in hack, how does this sub feel about it?
  • Anand Roy Anand Roy on linkedin
    The recent 404 Media exposé revealing how a major AI music tool built its database via mass scraping is a timely reminder for creators and businesses alike. …
  • r/technology r on reddit
    Hack suggests AI music generator Suno scraped YouTube for training data |  TechCrunch