GriffinAI Hack

TOTAL LOST $3.0M
Medium False Peer Exploit / Access Control bsc

Summarize with AI

Affected Chain bsc Incident surface
Recovered - No recovery reported
All-Time Rank #542 By amount stolen
Protocol Type Exploit/Access control Target category

Incident Overview

On September 25, 2025, Griffin AI's GAIN token crashed 90% within 24 hours of launch after an attacker exploited a cross-chain bridge vulnerability to mint 5 billion unauthorized tokens. The exploit occurred through a fake LayerZero peer that bypassed official Ethereum endpoints, resulting in approximately $3-4 million in losses and wiping out $36 million in market capitalization.

The attacker deployed a malicious Ethereum contract and added it as a peer for GAIN's LayerZero cross-chain setup, creating an "unauthorized LayerZero peer" that bypassed Griffin AI's official endpoints. This allowed the minting of 5 billion GAIN tokens on BNB Chain, far exceeding the project's 1 billion supply cap. The exploiter quickly dumped approximately 147.5 million GAIN tokens on PancakeSwap and through over-the-counter trades within an hour, causing the token price to collapse from $0.25 to $0.0273.

The stolen funds were then bridged via deBridge to multiple networks including Solana, Ethereum, Base, and Arbitrum. According to blockchain data, around 5 million GAIN tokens were swapped for 2,955 BNB (~$3M), which was then bridged to Ethereum, converted to 720 ETH, and 700 ETH was deposited into Tornado Cash for laundering.

Incident Report

Protocol / Project GriffinAI
Date of Incident
Affected Chain(s) bsc
Attack Technique False Peer Exploit / Access Control
Classification Infrastructure / Other
Primary Source View Post-Mortem

Protocol Information

Protocol Type Exploit/Access control
Smart Contract Language Solidity
Official Website www.griffinai.io/
Protocol Twitter/X @Griffin_AI
Team Anonymous
Source Code Unverified

Market Context at Time of Hack

Token Categories
Platform AI & Big Data DApp Ethereum Ecosystem BNB Chain Ecosystem Binance Alpha Binance Alpha Airdrops Binance Ecosystem

What the Attacker Needed to Succeed

Understanding the prerequisites for this type of attack helps auditors identify protocols that are most at risk and helps developers build better defenses.

Technical Knowledge Operational-security tradecraft (phishing, malware, leaked seed phrases, or insider access) to obtain treasury signing authority
Capital Required Minimal capital - only enough to cover gas while draining the compromised accounts
On-Chain Access Valid signing authority over the compromised wallets / multisig signers, allowing direct transfer of funds or stake authorization
Target Reconnaissance Identification of GriffinAI's high-value treasury accounts and the authority / multisig structure controlling them
Execution Speed Speed to drain the compromised accounts before the team detects the breach and revokes signing authority or freezes the assets
Obfuscation Plan A strategy to launder and move stolen funds - typically through mixers, cross-chain bridges, or decentralized DEX swaps to resist tracing

What Auditors Should Check

Could this have been caught in audit? Likely — with a thorough False Peer Exploit / Access Control audit checklist and test coverage

If you're auditing a protocol with similar architecture to GriffinAI, these are the critical security checks that could have prevented this incident (September 2025).

  • Verify all logic paths related to False Peer Exploit / Access Control are guarded by proper access controls and input validation - see the Access Control Attacks attack class for patterns
  • Review privileged functions (owner, admin, governance) for potential abuse vectors - centralization risks should be documented and bounded with timelocks or multi-sigs

Master these auditing techniques with hands-on labs and real exploit scenarios in the Smart Contract Hacking course.

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Related Attack Classes

The technique used in this hack maps to these vulnerability classes in our security curriculum:

See all Access Control Attacks examples →

Sources & References

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