Your Loss is My Gain: Low Stake Attacks on Liquid Staking Pools

TL;DR

This paper uncovers new low-stake attack strategies on liquid staking pools in PoS systems, demonstrating how adversaries can manipulate market prices for profit, exposing security gaps.

Contribution

It introduces a deep reinforcement learning framework to discover and analyze low-stake attacks on liquid staking pools, highlighting new vulnerabilities.

Findings

Attacks can significantly degrade pool performance and be profitable.

Operational performance correlates with subsequent LST returns.

Learned strategies approximate theoretical attack optimality.

Abstract

Permissionless Proof-of-Stake (PoS) economic security is predicated on the high cost of violating consensus safety or liveness. We show that liquid staking introduces additional risks that are not captured by standard PoS economic security arguments. Through an empirical study of Ethereum data, we find that the operational performance of liquid staking pools is positively associated with subsequent normalized liquid staking token (LST) returns. Motivated by this, we present a cross-layer attack: a low-stake adversary can manipulate the consensus protocol to degrade a target pool's performance and take application-layer positions that profit if the market reprices the corresponding \gls{LST} in-line with the historically observed association. To make the consensus layer manipulation concrete, we develop a deep reinforcement learning (DRL) framework to automatically discover attack strategies. Our evaluation shows that the learned strategies can recover near-optimal theoretical attacks and uncover new manipulation behaviors that significantly degrade target pool performance. We further characterize feasible application-layer monetization channels and analyze leveraged shorting in detail using Monte Carlo simulations, showing that such attacks can be profitable with over one-half probability for LSTs of major staking pools. Our findings reveal a previously overlooked attack surface in PoS systems with liquid staking and expose a gap between consensus and economic security.