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Fireworks AI discloses wider customer data exposure after second breach

Original title: Fireworks AI gets burned twice as customer data exposure widens

The Register · Securityby Connor Jones ()2 min read
Part of a story covered by 8 sourcesFireworks AI October breaches exposed billing data and Notion chatsMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

An October 23 cloud-provider compromise reached development systems; billing data and some partial weights were accessed.

Fireworks AI said a third-party cloud provider hosting its research machines was compromised on October 23, and attackers reached development systems the next day to run an unauthorized workload. The company now says billing records and, for some customers, incomplete model weights and datasets were accessed. That widens an October 6 incident in which attackers used internal credentials and read some customer API keys and tokens. Notion told Render that some unattributable Notion AI chats may have been exposed.

Unconfirmed: Fireworks suspects financially motivated LLMJacking, and Notion describes chat exposure as possible rather than confirmed.

Key facts
  • Payment card numbers are not stored and were not affected, Fireworks said.
  • CEO Lin Qiao said most weight downloads were partial and stopped.
  • Notion said under 1 percent of workspaces may have been affected.
  • Exposed chat transcripts lacked separate user or workspace identifiers, Notion said.
  • Fireworks worked with Unit 42 and did not state how many customers were affected.
Security assessment · AI, from the article

Impact: Billing data, partial weights, datasets, and some API keys exposed

Analyze this story with Vani AIImpact, who is affected and what defenders should do, in a new chat

From the original article

2 min read at theregister.com

Inference biz pins latest breach on cloud provider and LLMJacking miscreants

The Register · Security

By Connor Jones · theregister.com

Read the full article at The Register · Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.