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Hackers Breach Fireworks AI Through Third-Party Cloud Provider to Steal Customer Data

Cyber Security News·Source published ·1 min read

What happened?

Fireworks AI has disclosed a wider security breach involving customer account details, billing records, datasets, and incomplete model weights. In a November 9, 2026 update, the company said attackers reached its development machines through a third-party cloud provider, expanding the impact beyond the exposed credentials reported in October. The findings change the picture presented in its first disclosure. Fireworks initially reported unauthorized access to secrets used in evaluation jobs across a limited number of accounts.

Key details

  • Fireworks AI disclosed a broader breach exposing customer account details, billing records, datasets, and incomplete model weights.
  • Attackers accessed development machines via a third-party cloud provider incident starting October 23, 2026.
  • Billing data exposed includes addresses, invoices, payment history, balances, and credit usage; payment card numbers were not stored.
  • Evidence points to a financially motivated group seeking to sell unauthorized LLM access through illicit routing gateways known as LLMJacking.
  • Fireworks engaged Palo Alto Networks Unit 42 for forensic support and notified law enforcement.
  • Self-service dataset uploads and downloads for Batch Inference and dataset-based training were disabled during the investigation.

Affected

  • Fireworks AI customer accounts, billing records, datasets, and incomplete model weights.
  • Internal application exposing resource identifiers, names, descriptions, and creation times.
  • Development machines hosted by an unnamed third-party cloud provider.

Fixes and mitigations

  1. Revoked affected keys, employee credentials, and service-account tokens.
  2. Disabled self-service dataset uploads and downloads for Batch Inference and dataset-based training.

What to look for

  • Unauthorized workload run on development machines on October 24, 2026.
  • Misuse of internal credentials detected on October 6, 2026.
  • Access to environment variables used by evaluation jobs, potentially capturing API keys and tokens.

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