LIVE DATA
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๐ŸŒฐ Bridges Monitored
โ€”
Active cross-chain protocols
โš ๏ธ Critical Risk
โ€”
Risk score โ‰ฅ 70
๐Ÿ”ถ High Risk
โ€”
Risk score 50โ€“69
๐Ÿ”’ Total TVL
โ€”
Value locked in bridges
๐ŸŒ Most Chains
โ€”
Largest chain surface
๐Ÿ’ธ Historical Losses
$2.85B
10 recorded exploits
๐Ÿค– AI Intelligence Brief
GitHub Models ยท gpt-4o-mini
๐Ÿ”

Weekly Bridge Security Analysis

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๐ŸŒ‰ Bridge Risk Scores
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Bridge
Risk Level
Risk Score
TVL
Chains
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๐Ÿ’€ Historical Bridge Exploits
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๐Ÿ“ Risk Scoring Methodology

๐ŸŒฐ How We Score Bridge Risk

Risk scores (0โ€“100) combine three weighted factors reflecting real-world attack economics.

๐Ÿ’ฐ TVL Exposure (0โ€“40 pts)

Higher TVL = more attractive target. Bridges holding >$1B locked value score maximum. Historical data shows exploit size correlates strongly with available TVL.

๐Ÿ’€ Exploit History (0โ€“40 pts)

Bridges with prior exploits receive a 40-point penalty. Attackers target previously compromised protocols โ€” they know the architecture and residual vulnerabilities.

๐ŸŒ Chain Surface Area (0โ€“20 pts)

Each chain integration adds smart contract risk, relayer trust assumptions, and validation gaps. Bridges on 10+ chains score maximum surface-area risk.

๐Ÿ“Š Thresholds

CRITICAL โ‰ฅ 70 pts
HIGH 50โ€“69 pts
MEDIUM 30โ€“49 pts
LOW < 30 pts