Is Fraxlend Safe?
Risk Grade: B- (34/100)
Fraxlend is rated as moderate risk — some novel mechanisms, generally well-understood.
Moderate risk — well-designed isolated lending with strong documentation, tempered by oracle dependencies and governance concentration in the veFXS model.
Fraxlend is an isolated lending protocol built by Frax Finance that enables permissionless creation of lending markets between any two ERC-20 tokens. With $31M in TVL across Ethereum, Fraxtal, and Arbitrum, it uses a novel dynamic interest rate model that adapts to utilization. The B- risk grade reflects solid documentation and audit history but notes exposure to oracle dependencies and governance concentration risks inherent in the veFXS model.
TVL
$31M
Mechanisms
7
Interactions
5
Value Grade
C+
Key Risks for Fraxlend Users
Each lending pair operates independently — if a pair's collateral token drops sharply, lenders in that specific pair could lose money even if other pairs are fine.
Interest rates adjust automatically and can spike rapidly during market turbulence, making borrowing costs suddenly much higher than expected.
The protocol is deeply connected to the broader Frax Finance ecosystem, so problems with the FRAX stablecoin or governance token could affect Fraxlend.
Top Risk Factors
- •Isolated lending pairs reduce contagion risk but create fragmented liquidity across many individual markets, potentially leading to withdrawal delays in low-liquidity pairs.
- •Dynamic interest rate model adjusts borrowing costs based on utilization, but aggressive rate changes during volatile markets can trap borrowers or create unpredictable costs.
- •Deep integration with Frax Finance ecosystem means Fraxlend health depends on FRAX stablecoin peg stability and broader Frax protocol governance decisions.
Risk Score Breakdown
Fraxlend's highest risk area is Vitality Risk (6/10). Here's how each dimension contributes to the overall 34/100 score:
Read the Full Fraxlend Risk Report
This protocol has 2 collapse scenarios. 2 high-severity interaction risks identified. See the full mechanism classification, interaction matrix, and deep-dive recommendations.
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