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Data breachhighExploited in the wild

Binance discloses $6.3 billion crypto heist via fake job interviews

Original title: Binance Reveals How Hackers Pulled Off $6.3 Billion Crypto Heist Using Fake Job Interviews

GBHackersby Divya ()2 min read1
Part of a story covered by 19 sourcesNorth Korean Hackers Steal $6.34B From Binance Hot WalletsMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

Hackers stole $6.34 billion from Binance's wallet signing service using compromised developers and EIP-7702 abuse; $2.85 billion intercepted.

On October 29, 2026, attackers stole approximately $6.34 billion from Binance through a scheme involving fake recruitment interviews and compromised developer endpoints. The FBI attributes the activity to North Korea’s TraderTraitor cluster. Binance absorbed the financial loss after freezing or intercepting about $2.85 billion and replenished 98% of the affected token assets by October 31. The investigation remains ongoing.

Unconfirmed: FBI attribution to North Korea’s TraderTraitor cluster

Key facts
  • Compromised engineers downloaded tampered Homebrew installer and fake assignment repository.
  • Unauthorized transfers used stolen credentials and malicious blockchain authorizations.
  • Binance cleared delegation at 00:10 UTC on October 30 after multi-party computation setup.
Security assessment · AI, from the articleExploited in the wild

Impact: theft of $6.34 billion in digital assets from internal wallet signing service

ProductAffected
Binance wallet signing service—
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From the original article

2 min read at gbhackers.com

Binance has revealed that attackers carried out a sophisticated scheme involving fake recruitment interviews, compromised developer endpoints, and malicious blockchain authorizations to steal approximately $6. 34 billion in digital assets on October 29, 2026.

GBHackers

By Divya · gbhackers.com

Read the full article at GBHackers

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.