Is Phantom SOL Safe?
Risk Grade: B (23/100)
Phantom SOL is rated as moderate risk — some novel mechanisms, generally well-understood.
A convenient and well-integrated liquid staking option for Phantom wallet users, built on battle-tested Solana infrastructure. The centralized validator selection and shallower liquidity are trade-offs for the seamless UX. Best for users who value convenience over maximum decentralization.
Phantom SOL (PSOL) is Phantom wallet's native liquid staking token on Solana. When you stake SOL through Phantom, you receive PSOL — a yield-bearing token that grows in value over time as staking rewards and MEV tips accumulate. Built on Solana's audited SPL Stake Pool program, PSOL offers convenient one-click staking directly in the wallet. However, Phantom centrally controls which validators receive your delegated SOL, and PSOL has shallower liquidity pools compared to established competitors like mSOL or jitoSOL.
TVL
$116M
Mechanisms
5
Interactions
4
Value Grade
D
Key Risks for Phantom SOL Users
Phantom controls validator selection — you trust a single company with your stake delegation
PSOL has less DEX liquidity than mSOL or jitoSOL, meaning more slippage if you need to exit quickly
Staking is tied to the Phantom wallet experience — switching wallets adds friction
MEV tip sharing is not transparently verifiable on-chain
Top Risk Factors
- •Phantom controls the validator selection for PSOL — centralized stake delegation introduces single-entity trust dependency
- •PSOL liquidity pool depth is shallow compared to established Solana LSTs like mSOL or jitoSOL, creating slippage risk during mass exits
- •Wallet-integrated staking creates vendor lock-in — users depend on Phantom app for staking UX and may face friction switching to alternatives
Risk Score Breakdown
Phantom SOL's highest risk area is Scale Exposure (5/10). Here's how each dimension contributes to the overall 23/100 score:
Read the Full Phantom SOL 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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