MarketJun 16, 2026

When the Restaking Chain Breaks, Where Does the Loss Go?

Pull a restaking stack apart and it has a recognizable shape. Raw ETH sits at the bottom. Stake that ETH and you receive a liquid staking token — stETH, for example — representing your claim on the underlying position. Deposit that token into a restaking protocol and it starts backing additional services, potentially generating another receipt token representing your stake in the restaking layer. In some setups, that token then gets used as collateral in a lending protocol.

Every token in the chain is a derivative claim on the ETH at the bottom. The more layers you add, the more obligations load onto the same underlying asset.

That ETH at the base is the final source of every obligation in the stack. However many layers of tokens and protocols sit above it, every claim can only be honored if the ETH is still there and recoverable. The less obvious implication: people closer to the bottom tend to be better positioned when things go wrong, because fewer mechanisms separate them from the real asset. The further up the stack you sit, the more things have to work simultaneously for your claim to hold. When any one of those things fails, claims higher up can become promises no one is in a position to honor.

A slashing event at one of the services being secured through restaking produces a loss that gets deducted from the restaked position and moves downward. The ETH backing stETH shrinks. stETH's support weakens with it. If the loss is large enough, the exchange rate between stETH and ETH starts to shift.

If a liquid restaking token loses its peg under market pressure, the lending protocols that accepted it as collateral face a shortfall. Borrowers get liquidated. Liquidations push the price lower. That cycle does not require the restaking protocol to malfunction. A market repricing of the collateral is enough to start it.

On April 18, 2026, this played out in practice. An attacker forged a cross-chain bridge message and caused Kelp DAO's bridge to release 116,500 rsETH, worth roughly $292 million, about 18 percent of the token's circulating supply, without any ETH being locked on the source chain. The tokens were created from nothing. The attacker deposited them into Aave as collateral and borrowed real WETH against them. The entire sequence took 46 minutes. During that time, Aave's smart contracts worked exactly as designed. The problem was not Aave's code. It was the collateral Aave had accepted: rsETH's backing was gone, but the protocol had no way to know that yet. Estimated bad debt across affected markets ran between $124 million and $230 million. Aave's total value locked fell more than $6.6 billion within two days. The exploit originated in bridge infrastructure. The damage showed up in a lending protocol that had no direct part in the attack.

Loss does not stay where it starts because restaking's design premise is that the same asset is shared across multiple layers simultaneously. When one layer fails, the weight of that failure has to land somewhere — and it typically lands at the layer closest to the actual asset. Every layer assumes the layers beneath it are working. When one of those assumptions breaks, the ones built on top of it start to break as well.

Traditional finance observed the same pattern when rehypothecation chains came under stress. A failure at one link does not stay contained there. The rest of the chain reassesses its own position, and that reassessment generates new pressure. The more layers, the more there is to reassess.

Before entering a restaking arrangement, the question worth asking is not what yield is available. It is: across every layer in this stack, what am I assuming has to hold — and what does it look like if more than one of those assumptions fails at the same time.

If you hold a liquid restaking token and use it as collateral, your position depends on several things being true simultaneously: the restaking protocol's slashing conditions not triggering, the underlying staking token holding its peg, the lending protocol's liquidation mechanism working as intended, and enough market liquidity for you to exit when you need to. Most of the time these conditions hold. Under stress, they tend to fail together — which is why stress scenarios are almost always worse than anticipated.

Restaking's risk is not just price volatility in the collateral. Peg stability, slashing exposure, and liquidity depth all factor in. A problem at one point in the stack can surface somewhere else entirely. Often, there is no way to know in advance which link is carrying the most weight.