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Crypto Prune > News > Crypto > Ethereum > Ethereum’s $11 billion staking withdrawal delay raises concerns about system vulnerabilities
Ethereum

Ethereum’s $11 billion staking withdrawal delay raises concerns about system vulnerabilities

4 months ago 5 Min Read

Ethereum’s staking network is under increasing strain as validator withdrawals reach record levels, testing the system’s balance between liquidity and network security.

According to recent validator data, as of October 8, over 2.44 million ETH worth over $10.5 billion was pending withdrawal, the third highest level in a month.

This backlog is only lower than the peak of 2.6 million ETH recorded on September 11th and 2.48 million ETH recorded on October 5th.

According to Dune Analytics data curated by Hildobby, withdrawals are concentrated on major Liquid Staking Token (LST) platforms such as Lido, EtherFi, Coinbase, and Kiln. These services allow users to stake ETH while maintaining liquidity through derivative tokens such as stETH.

Ethereum Stakers (Source: Dune Analytics)

As a result, ETH stakers currently face withdrawal delays of 42 days and 9 hours on average. This reflects the imbalance that has been going on since ETH. crypto slate We first identified the trend in July.

Notably, Ethereum co-founder Vitalik Buterin defended the withdrawal design as an intentional safety measure.

He compared staking to a disciplined form of service to the network, arguing that delayed exits discourage short-term speculation and strengthen stability by ensuring validators remain committed to the long-term security of the chain.

What impact does this have on Ethereum and its ecosystem?

The long withdrawal queues have sparked debate within the Ethereum community, fueling concerns that they could represent a systemic vulnerability in the blockchain network.

Anonymous ecosystem analyst Rob Dog called the situation a potential “ticking time bomb” and noted that longer exit times amplify duration risk for participants in the liquidity staking market.

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he said:

“The problem is that this could cause a vicious unwinding loop, with huge implications for DeFi, lending markets, and the use of LST as collateral.”

According to Robdog, queue length directly impacts the liquidity and price stability of tokens like stETH and other liquid staking derivatives, which typically trade at a slight discount to ETH to reflect redemption delays and protocol risks. However, these discounts tend to get deeper as the validator queue gets longer.

For example, if stETH is trading at 0.99 ETH, a trader can earn around 8% per year by buying the token and waiting 45 days for redemption. However, if the lag period were doubled to 90 days, the incentive to buy the asset would drop to around 4%, potentially widening the peg gap further.

Additionally, stETH and other liquidity staking tokens are collateral across DeFi protocols such as Aave, so any significant deviations from the price of ETH can ripple through the broader ecosystem. For context, Lido’s stETH alone has around $13 billion in total locked up, much of it tied to leveraged loop positions.

Robdog warned that a sudden liquidity shock, such as a large deleveraging event, could force a rapid unwinding, raising borrowing rates and destabilizing the DeFi market.

He wrote:

“For example, if market conditions suddenly change and many ETH holders want to rotate their positions (e.g. another Terra/Luna or FTX level event), a significant withdrawal of ETH will occur. However, as the majority is lent out, only a limited amount of ETH can be withdrawn. This could lead to a run.”

In view of this, analysts warned that the safe and lending markets require a stronger risk management framework given the increased duration exposure.

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According to him:

“If an asset’s exit period spans from one day to 45 days, it is no longer the same asset.”

He also urged developers to consider the discount rate for the period when pricing collateral.

Londog writes:

“LST is fundamentally a useful and systematic infrastructure for DeFi, so you should consider upgrading the throughput of your exit queue. Even if you increase the throughput by 100%, you will still have enough benefits to secure your network.”

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