1.4ETH窃案背后:Lido安全机制给行业上了一课

Odaily星球日报Published on 2025-05-12Last updated on 2025-05-12

Abstract

凌晨黑客入侵Lido预言机多签中的一个地址,在盗取1.4枚ETH后暴露行踪。被盗事件对于Lido是否有实质性的影响呢?

撰文:@IsdrsP(Lido 验证节点主管)

编译:Nicky,Foresight News

5 月 10 日凌晨预言机服务商 Chorus One 披露,Lido 预言机的一热钱包遭黑客入侵导致 1.46 枚 ETH 被盗。但据安全审计显示,这一孤立事件影响有限,涉事钱包设计本就仅作轻量级运营用途。

预言机遭受攻击听起来确实很糟糕。然而,Lido 的架构设计、利益相关方的价值理念,以及以安全为导向的贡献者文化,意味着此类事件的影响极为有限 — 即便预言机被完全攻破,也不会造成灾难性后果。

那么,Lido 究竟有何独特之处?

深思熟虑的设计与层层防护机制

Lido 的预言机负责将共识层的信息传递至执行层,并汇报协议动态。它们并不掌控用户资金。单一故障预言机只会造成小麻烦,即便仲裁程序(quorum)被攻破也不会造成灾难性后果。

单个被攻破的预言机可能会尝试哪些恶意行为?

A) 提交恶意报告(但会被诚实的预言机忽略);

B) 耗尽该特定预言机地址的 ETH 余额(该地址仅用于运营交易,且未存放质押者的资金)。

预言机究竟承担什么职责?

Lido 的预言机本质上是由 9 个独立参与者组成的分布式机制(需 5/9 达成共识),主要负责协议状态报告,当前核心职能包括:

• 代币通胀奖励发放(rebase)

• 提款流程处理

• 验证节点退出及性能监控,以供 CSM(Community Security Module)参考

这些预言机会向协议提交其观察到的状态「报告」。这些报告用于计算每日累计的奖励或惩罚、更新 stETH 余额、处理并最终确认提款请求、计算验证者退出申请以及衡量验证者的表现。

从本质上来说,Lido 预言机与人们通常理解的「多签」有所不同。预言机既无法访问质押者和协议的资金,也不能控制任何协议合约的升级,更无法对自身进行升级或管理成员资格。相反,Lido DAO 通过投票来维护预言机列表。

预言机的功能极为有限 — 仅能执行以下操作:提交报告,这些报告严格遵循为不同协议目标设计的确定性、经过审计且开源的算法;在特定情况下执行交易以落实报告结果(例如协议的每日 rebase 操作)。

如果 9 个预言机中有 5 个被攻破,最坏的情况会怎样?在这种情况下,被攻破的预言机可能会合谋提交恶意报告,但任何报告都必须通过链上强制执行的协议合理性检查。

若报告违反这些合理性检查,其处理时间将会延长(甚至可能永远无法)「结算」,因为报告中的数值必须符合特定时间段(数天或数周)内允许的数值变化范围。

在最坏的情况下,这可能意味着类似 stETH 的 rebase(无论是正向还是负向)需要更长时间才能生效,这会对 stETH 持有者造成影响,但对大多数持有者的影响微乎其微,除非有人在 DeFi 中以杠杆方式使用 stETH。

也存在其他可能性:若恶意预言机及其同谋掌握某些信息,或是具备在共识层实施大额惩罚(如大规模罚没)的能力,就可能利用执行层 stETH 更新延迟来谋取经济利益。

例如,若发生大规模罚没,某些人可能会在负向 rebase 生效前,通过去中心化交易所(DEX)抛售部分 stETH。不过,这不会影响用户通过 Lido 直接发起的提款操作,因为协议的「应急模式」(bunker mode)将会启动,确保提款流程公平执行。

即时且彻底的透明性

从始至终,Lido 生态系统的所有参与者 — 无论是贡献者、节点运营方,还是预言机运营方等,始终将透明度与善意置于首位,优先保障质押者权益与整个生态系统的健康发展。

无论是主动发布详尽的事后分析报告、补偿因基础设施停机造成的质押损失,还是出于预防性考量主动退出验证节点,亦或是迅速发布全面的事故报告,这些参与者始终将透明度视为重中之重。

持续迭代升级

Lido 始终站在技术研发前沿,致力于运用零知识证明(ZK)技术提升预言机机制的安全性与去信任化水平。早在初期阶段,团队便投入逾 20 万美元专项资金,支持通过零知识证明技术实现共识层数据的无需信任验证。

这些关于技术的探索最终促成了由 SuccinctLabs 团队研发的 SP 1 零知识预言机「双重校验」机制将于年内的正式上线。该机制通过可验证的共识层数据,为潜在的负向 rebase 操作提供额外的安全验证层。

目前这类零知识技术仍处于发展阶段,相关的零知识虚拟机(zkVM)不仅需要经历实战检验,同时也存在运算速度较慢、计算成本较高的局限性,尚无法完全取代可信预言机。但从长远来看,这类解决方案有望成为现有预言机的信任最小化替代方案。

预言机技术十分复杂且在 DeFi 领域的应用场景各异。在 Lido 协议中,预言机作为核心组件经过精心设计,通过有效的去中心化架构、职责分离机制以及多层校验体系,显著降低了潜在风险的影响范围。

内容来源:

Trending Cryptos

Related Reads

Refunds! Claude 4.8 Sees Overnight Major 'Dumb-Down', GPT-5.6's Computational Power Reportedly 'Halved'

The AI community is currently alarmed by widespread reports of significant performance degradation in two leading models. This article details a "mass self-testing frenzy" triggered by a mysterious prompt designed to detect a hidden "Juice" value, representing a model's reasoning compute budget. On OpenAI's side, users suspect a covert, limited test of a "GPT-5.6-sol" model is underway. When using a specific XML prompt on the Codex platform, a normal "gpt-5.5 xhigh" model reportedly returns a Juice value of 768. However, some users routed to the suspected GPT-5.6 test receive a drastically reduced value of 128—a six-fold decrease. This has sparked debate on whether it signifies a major efficiency leap or a "watered-down, low-cost version" achieved by slashing reasoning depth to save computational expenses. Simultaneously, Anthropic's Claude models, particularly the flagship Opus 4.8 Max, are facing intense user backlash for a perceived "physical brain cut." Users on platforms like Reddit report a dramatic decline in the model's once-impressive reasoning, with complaints of it becoming "absurdly" weakened, performing worse than older, lighter models like Haiku. Specific criticisms include: losing long-context memory, refusing to think deeply even in high-reasoning modes, providing instant incorrect answers, and engaging in unhelpful, argumentative, or "gaslighting" behavior where it contradicts users unnecessarily. The article speculates these "stealth downgrades" might be a calculated corporate strategy. Companies could initially release models with temporarily boosted compute to create an illusion of a major breakthrough, then silently scale back parameters later to manage unsustainable inference costs. A proposed underlying cause is a tightened funding environment, potentially exacerbated by SpaceX's massive IPO soaking up market liquidity, which could delay AI company IPOs and force cost-cutting measures like model "nerfing." The core issue highlighted is the asymmetry of information: subscribers pay for a service that can be silently and fundamentally altered without notification or explanation. The viral "Juice test" resonates because it represents users' desire for transparency about what they are actually paying for.

marsbit4m ago

Refunds! Claude 4.8 Sees Overnight Major 'Dumb-Down', GPT-5.6's Computational Power Reportedly 'Halved'

marsbit4m ago

Earning Six Figures and Still Struggling to Rent in San Francisco

A couple in San Francisco with a combined tech income over $360,000 struggled for months to find a one-bedroom apartment under $5,000 per month. Their story highlights how the AI wealth boom, driven by upcoming IPOs from companies like OpenAI and Anthropic, is dramatically escalating the city's cost of living. Even six-figure salaries are becoming insufficient for a comfortable lifestyle. The article details the financial reality for tech workers earning around $180,000 annually. After taxes, retirement contributions, and healthcare, take-home pay is roughly $7,000 per month. With average rents exceeding $3,800 and one-bedrooms often costing $4,500-$5,200, discretionary income shrinks to $1,500-$2,500. This contrasts sharply with reported median total compensations of $640,000 at OpenAI and $420,000 at Anthropic. The AI gold rush is identified as the primary driver. The scale of potential wealth from these IPOs, far surpassing previous tech booms, is flooding the housing market. Data shows San Francisco's average rent is now the highest in the U.S., with vacancy rates in desirable neighborhoods plummeting to around 3%. The overall cost of living is 65.6% above the national average. The piece features multiple professionals, including a 25-year-old with a $250,000 salary, facing housing instability, fierce competition for rentals, and a persistent, low-grade financial anxiety despite high earnings. It concludes that the rapid concentration of AI wealth is redefining what constitutes a "high salary" in San Francisco, pushing out mid-tier tech talent and creating a stark divide between those in the AI sector and everyone else.

marsbit1h ago

Earning Six Figures and Still Struggling to Rent in San Francisco

marsbit1h ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片