# Пов'язані статті щодо Security

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Security", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

**Raydium Exploit Reveals DeFi's Hidden Risk: Forgotten "Zombie" Contracts** A recent attack on Raydium's deprecated V3 AMM pools resulted in a loss of approximately $1.34 million. The hacker exploited pools that were no longer supported by Raydium's current UI or SDK but remained fully functional and accessible on-chain. This incident highlights a critical, often overlooked category of risk in DeFi: inactive or legacy smart contracts that projects fail to properly decommission. Since March 2025, there have been at least 8 publicly reported attacks targeting such abandoned contracts, with total losses around $10.8 million. Including older pools and deprecated features, the count rises to 10 incidents with roughly $22.5 million in losses. These "zombie contracts" represent a lifecycle management failure rather than a code vulnerability, yet they are typically misclassified under general "code bug" categories in security reports, masking the true scale of the problem. The root cause is that projects often merely document a contract as "deprecated" without taking essential technical steps to secure it: withdrawing remaining assets, disabling external call functions, and implementing ongoing monitoring. These forgotten, under-monitored components become prime targets for attackers. To address this, the industry needs to recognize "zombie contracts" as a distinct risk category and establish standardized decommissioning protocols. Essential steps should include: 1) a formal retirement announcement, 2) removal of all front-end integrations, 3) withdrawal of locked assets, 4) disabling key contract functions, 5) ongoing security monitoring, 6) clear user communication, and 7) a post-mortem analysis. The value of a DeFi project lies not only in its current TVL but also in the security of its historical codebase, which has now become a new attack surface.

Foresight News23 год тому

The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

Foresight News23 год тому

Public Version of Mythos Officially Launched: Analyzing the Advantages and Limitations of AI Smart Contract Auditing

Publicly available Mythos, Anthropic's AI model, has officially launched, demonstrating both significant potential and limitations in smart contract security auditing. The article analyzes its capabilities through real-world cases. AI excels in identifying subtle, low-level vulnerabilities through pattern recognition and large-scale code screening. A key example is detecting a storage slot collision between a custom rewards mapping and a third-party library's ReentrancyGuard, a vulnerability easily missed in manual audits. In the recent Zcash incident, AI also rapidly discovered a critical soundness bug that had remained hidden for years. However, AI currently struggles with complex, interconnected scenarios. When tested on the Curve LlamaLend sDOLA exploit, which involved manipulating prices across multiple protocols (Curve pools, lending markets) to trigger liquidations, Fable 5 failed to identify the core cross-protocol attack vector. These scenarios require a deep understanding of DeFi economic models and multi-contract interactions. In conclusion, while AI tools like Mythos significantly boost efficiency in finding standardized, syntactic vulnerabilities, they cannot yet replace expert analysis for complex, business-logic, and cross-protocol attacks. An effective audit workflow combines AI's speed for initial screening with human expertise for in-depth, holistic analysis.

marsbit2 дні тому 08:06

Public Version of Mythos Officially Launched: Analyzing the Advantages and Limitations of AI Smart Contract Auditing

marsbit2 дні тому 08:06

IC3 Top Universities Collaborative Analysis: Is AI x Crypto the Real Future or Just a Narrative Bubble?

IC3 researchers from leading universities analyze the convergence of AI and crypto. They argue meaningful integration is still nascent, with hype often outstripping progress. The report frames AI as a "translation middleware" making blockchain accessible, while crypto serves as a "trust middleware" via tools like ZK proofs and TEEs for integrity, availability, and confidentiality. Two main directions are examined: 1) **Crypto x AI**: Using AI to enhance blockchain via analysis (fraud detection), algorithmic design, and AI oracles (with accuracy varying by task). New risks include AI-driven malicious smart contracts. 2) **AI x Crypto**: Using crypto to enhance AI via decentralized infrastructure (DePIN), data markets, agent micropayments, governance, and securing AI pipelines (training/federated learning, secure inference). The "Protected Pipeline" (Props) framework combines oracles and trusted computation for secure use of private data. Key challenges are highlighted: The industry must rigorously prove decentralized AI's cost competitiveness and crypto's utility for agent payments. Major research gaps include providing systemic security for autonomous agents and addressing novel threats like unstoppable AI agents. The report concludes by debunking five common misconceptions: blockchain cannot inherently detect AI content, solve algorithmic bias, grant true AI autonomy, ensure AI trustworthiness through mere transparency, or guarantee that decentralization is always cheaper for AI tasks. The field remains in an early, evidence-seeking phase.

marsbit06/11 00:12

IC3 Top Universities Collaborative Analysis: Is AI x Crypto the Real Future or Just a Narrative Bubble?

marsbit06/11 00:12

Anthropic Released the "Most Powerful Model," But Most People Can't Use It

In April, Anthropic launched a preview of its "Mythos" model, which was not publicly released due to its exceptional ability to autonomously discover high-risk zero-day vulnerabilities, posing a security threat if misused. It was restricted to a trusted group of security partners under "Project Glasswing." On June 10, Anthropic officially released Fable 5 and Mythos 5. They share the same underlying model but are distributed under different rules. Fable 5 is for general users, while Mythos 5 remains locked for trusted security partners. Benchmarks show Fable 5 leading in software engineering and long-task execution, with significant improvements in generating production-ready code. However, Fable 5 includes a safety classifier that automatically downgrades requests related to cybersecurity, biochemistry, or model distillation to the weaker Opus 4.8 model. This mechanism, while intended for safety, can affect the user experience and has faced criticism for being overly conservative. Pricing is another key point. Fable 5's API costs are double that of Opus 4.8. Furthermore, after a free trial period ending June 23, it will be removed from standard subscription plans, requiring users to purchase additional credits for access. This shift signals a move towards pay-as-you-go pricing for the most advanced capabilities. The strategy highlights a growing divergence in the AI industry: while some players like DeepSeek are drastically cutting prices, Anthropic is increasing them for its top-tier model, using cost as a filter for high-value users. The article suggests the AI market is stratifying, with commoditized capabilities becoming cheaper while premium, cutting-edge models command a significant price premium.

marsbit06/10 23:52

Anthropic Released the "Most Powerful Model," But Most People Can't Use It

marsbit06/10 23:52

活动图片