Is Sanctum Infinity Safe?
Risk Grade: B (26/100)
Sanctum Infinity is rated as moderate risk — some novel mechanisms, generally well-understood.
Moderate risk — innovative basket diversification reduces single-validator risk, but the meta-LST design creates a novel contagion pathway where one bad apple spoils the pool
Sanctum Infinity is a liquid staking pool that holds a basket of Solana LSTs (like JitoSOL, mSOL, bSOL) under a single INF token. Instead of picking one staking provider, INF diversifies across many, spreading validator risk. With $178M in deposits, 3 security audits, and over a year of clean operation, it earns a B grade. The innovation of holding LSTs inside an LST introduces unique risks: if any one constituent token is compromised, the entire pool can be drained.
TVL
$192M
Mechanisms
5
Interactions
4
Value Grade
C-
Key Risks for Sanctum Infinity Users
INF holds a basket of different staking tokens. If any one of those tokens gets exploited or loses value, it poisons the entire pool and every INF holder takes the loss
The pool prices tokens using on-chain exchange rates. If a staking protocol reports a wrong rate, attackers can deposit overvalued tokens and drain the good ones
During a Solana network crisis, all the staking tokens in the basket might lose value at the same time, eliminating the diversification benefit when you need it most
Top Risk Factors
- •A single compromised LST in the Infinity basket can drain value from the entire pool if not detected quickly
- •Pool relies on on-chain exchange rate oracles from each constituent LST's stake pool — a manipulated rate could enable theft
- •Basket composition changes affect risk profile without depositor consent; new LSTs can be added that introduce unknown risks
Risk Score Breakdown
Sanctum Infinity's highest risk area is Scale Exposure (5/10). Here's how each dimension contributes to the overall 26/100 score:
Read the Full Sanctum Infinity Risk Report
This protocol has 2 collapse scenarios. 1 high-severity interaction risks identified. See the full mechanism classification, interaction matrix, and deep-dive recommendations.
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