Is Synapse Safe?
Risk Grade: C (44/100)
Synapse is rated as elevated risk — multiple novel mechanisms and notable interaction risks.
Moderate risk — established bridge with high volume, but bridge exploits remain the single deadliest category in DeFi and Synapse already had a close call
A cross-chain bridge for moving tokens between blockchains, processing $2.5B+ in monthly volume with $80M in deposits. It narrowly avoided an $8M hack in 2021 when validators caught a bug in forked code just in time. Its C grade reflects bridge security risks compounded by validator trust assumptions and liquidity fragmentation.
TVL
$17M
Mechanisms
7
Interactions
6
Value Grade
C
Key Risks for Synapse Users
Bridge hacks are the biggest source of DeFi losses. Synapse barely avoided an $8M exploit in 2021 from a bug in code it copied from another project. The next bug might not be caught in time
During a market crash, everyone tries to bridge back to Ethereum at the same time. The Ethereum liquidity pool drains, slippage spikes to 5-20%, and users on smaller chains get stuck with no exit
Bridge security depends on validators staking SYN tokens. If the SYN price drops, the cost to corrupt validators drops with it, making the bridge cheaper to attack
Top Risk Factors
- •Cross-chain bridge exploits are the largest category of DeFi losses; Synapse narrowly averted an $8M exploit in November 2021 via a forked Saddle Finance virtual price bug
- •Multi-chain liquidity pools can become severely imbalanced during market stress, trapping user capital on low-demand chains with extreme slippage
- •Bridge validator set and optimistic verification model introduces counterparty trust assumptions that concentrate risk in a small operator set
Risk Score Breakdown
Synapse's highest risk area is Vitality Risk (8/10). Here's how each dimension contributes to the overall 44/100 score:
Read the Full Synapse Risk Report
This protocol has 2 collapse scenarios. 2 critical and 2 high-severity interaction risks identified. See the full mechanism classification, interaction matrix, and deep-dive recommendations.
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