
Cardano's serialization infrastructure contained a critical deserialization vulnerability rooted in legacy XStream-based code, where flawed hash code implementation triggered stack overflow conditions. This technical debt materialized as CVE-2022-41966, establishing a security weakness that persisted despite subsequent updates to the seroval library. The vulnerability proved more dangerous than initially recognized, enabling potential remote code execution pathways that attackers could theoretically exploit.
The November 2025 incident exposed this lingering risk when a deliberately crafted malformed transaction was submitted to mainnet. The transaction exploited fundamental differences in how older and newer node versions processed transaction data during deserialization. Older nodes correctly rejected the malformed input, while newer nodes accepted it, creating consensus disagreement that fractured the network into two competing chains. This chain split represented Cardano's first major consensus-level disruption in its eight-year operational history.
Cardano's recovery demonstrated ecosystem resilience and the effectiveness of its Ouroboros proof-of-stake consensus mechanism. Stake pool operators coordinated swiftly to upgrade nodes to version 10.5.3, implementing patches that corrected the deserialization logic. Following canonical chain selection rules inherent to Ouroboros, upgraded nodes automatically extended the legitimate chain. Within approximately fourteen hours, all nodes converged back to a single synchronized ledger, with SPOs, exchanges, and community participants showcasing the advantages of Cardano's decentralized architecture during this critical stress test.
On November 21, 2025, Cardano experienced a critical network attack when a malformed delegation transaction exploited a dormant deserialization bug in its node software, triggering the blockchain's first chain split. The vulnerability lay in how different node versions processed and validated transactions—the Ouroboros proof-of-stake protocol's definition of "valid" differed between versions, causing validators to follow conflicting chain histories. This technical flaw created two competing blockchain branches: a "poisoned" chain and a "healthy" chain.
The incident's severity was evident in immediate market consequences. ADA price crashed 16% within hours as the network fragmentation undermined confidence in Cardano's infrastructure. The malformed transaction, reportedly generated through artificial intelligence guidance, exposed a critical gap in Cardano's validation mechanisms that no one had previously detected during testing phases.
The chain split persisted for approximately 14.5 hours before the network achieved consensus and converged back to a single healthy chain. Charles Hoskinson, Cardano's founder, characterized the event as potentially deliberate, prompting him to contact federal authorities. The FBI investigation that followed raised significant questions about whether this represented a targeted security vulnerability or a careless development oversight.
While the network ultimately self-recovered through validator coordination, this incident revealed critical weaknesses in Cardano's node software architecture and testing protocols. The event demonstrated how even mature blockchain networks remain susceptible to sophisticated attacks exploiting overlooked technical vulnerabilities in their consensus mechanisms.
The 2021 DeFi incident involving improper stablecoin swaps demonstrated critical vulnerabilities in exchange infrastructure. When users deposit cryptocurrency into exchange wallets, they face custodial risks—the platform controls private keys and can be targeted by hackers or suffer operational failures. In this particular case, a flash loan attack exploited DeFi liquidity failures by temporarily inflating stablecoin prices on decentralized exchanges, causing cascading liquidations across ADA trading pairs.
The attack mechanism involved withdrawing massive quantities of stablecoins from liquidity pools, artificially manipulating exchange rates. Traders executing swaps during this period received far fewer ADA tokens than expected, resulting in approximately $6 million in losses. The vulnerability stemmed from insufficient slippage protection and inadequate price oracle safeguards on the affected protocol.
This incident exposed how custodial risks extend beyond simple exchange hacks. When DeFi liquidity failures occur, centralized exchanges holding customer assets become vulnerable to sophisticated attacks that exploit price volatility. The improper execution of stablecoin swaps revealed gaps in risk management protocols, particularly regarding transaction ordering and front-running protection.
The Cardano ecosystem learned critical lessons from this event. Enhanced security audits, improved liquidity monitoring systems, and stricter validation procedures for stablecoin interactions became industry standards. Users managing ADA holdings now emphasize the importance of non-custodial solutions and careful verification before engaging with DeFi protocols, understanding that exchange custodial risks require proactive security measures and transparent operational practices to mitigate potential financial exposure.
Cardano自2017年创立以来未发生重大安全事件。仅存在针对ADA持有者的小规模诈骗活动,如虚假赠币骗局,但未造成系统性漏洞。
Plutus智能合约存在逻辑错误、复杂性漏洞和代码审计不足的风险。2022年发现多个漏洞可导致资金损失。需要严格代码审查、形式化验证和安全审计来降低风险。
Cardano's DeFi projects have faced code vulnerabilities and smart contract exploits causing fund losses. These incidents revealed contract weaknesses. Continuous security audits and improvements are ongoing to enhance ecosystem safety.
Cardano采用Ouroboros权益证明机制,提供更强的安全性和去中心化。相比以太坊的工作量证明,Cardano更节能。相对Solana,Cardano开发更稳妥,通过同行评审系统确保安全,而Solana曾遭遇安全漏洞。Cardano安全性稳定可靠。
Conduct comprehensive code audits and formal verification before deployment. Leverage Cardano's extended UTxO model for enhanced transaction validation. Monitor contract behavior, use security testing tools, and engage professional auditors to identify vulnerabilities and mitigate risks effectively.
Cardano employs formal verification to mathematically prove smart contract correctness before deployment, identifying vulnerabilities early and eliminating potential bugs. This rigorous approach significantly enhances security and ensures reliable execution.











