DEF CON 32聚焦:CertiK安全工程师揭秘dApp的安全挑战

币界网Опубліковано о 2024-08-15Востаннє оновлено о 2024-08-15

币界网报道:

IBKWHYY43lzqNa4Baqpi4gP3LzMd3KWZf4fr1v0L.png

8月10日,CertiK的安全工程师Wang Peiyu在DEF CON 32会上发表了题为“Web2遇见Web3:黑客攻击去中心化应用”的演讲,通过Dapp漏洞和攻击手段的真实示例,深入分析了Web2与Web3集成所带来的新型安全问题,并提出了如何识别和防范这些风险。

演讲不仅揭示了去中心化应用(dApp)所面临的独特安全挑战,还分享了CertiK安全工程师Wang Peiyu在dApps渗透测试过程中积累的宝贵经验。他强调了恶意行为者如何利用dApps的漏洞,通过窃取种子短语、私钥、签名和API密钥等敏感信息来控制加密资产和托管人,进而操纵合约状态。

此外,演讲还深入讨论了dApp威胁建模,通过一系列实际案例,展示了客户端和服务器端的常见漏洞,包括跨站脚本攻击(XSS)、子域接管、DNS劫持、供应链攻击以及服务器配置错误等。他还提出了几个关键的安全建议,包括进行渗透测试和智能合约审计,以确保dApps的安全性。他强调,开发者需要对Web2和Web3的安全知识有全面的了解,以防止漏洞的引入,并保护用户资产不受侵害。

DEF CON是历史悠久的年度黑客大会之一,自1993年首次举办以来,一直面向白帽黑客群体举办,以其前沿的演讲、研讨会和竞赛而闻名。今年,CertiK的安全工程师Wang Peiyu受到特别邀请,参与了这场盛会,与全球网络安全领域的顶尖专家一道,深入探讨并分享了最新的安全技术进展和行业趋势。

Пов'язані матеріали

AI Giants Enter the Dark Forest

In the AI industry's "dark forest," major players like Anthropic, OpenAI, and DeepSeek are strategically withholding their most advanced models to avoid becoming targets in a high-stakes competitive landscape. Anthropic released Claude Opus 4.7 but admitted it underperforms compared to their unreleased model Mythos, citing safety concerns. They delayed addressing user complaints about performance regression until OpenAI’s GPT-5.5 launch, highlighting a tactic of controlled disclosure aligned with competitors’ moves. OpenAI’s GPT-5.5, though a full retrain since GPT-4.5, was seen as incremental rather than revolutionary. Leaks revealed internal models like Glacier and Heisenberg, indicating significant unreleased capabilities. OpenAI acknowledges a "capability overhang," where real model power exceeds what users experience, often due to infrastructure-driven throttling. DeepSeek launched V4 Preview, a cost-efficient model, but its full potential (V4 Pro Max) awaits Huawei’s Ascend 950 super-nodes量产 in late 2026. Their strategy focuses on affordability and scalability, aiming to democratize AI access globally, a move noted even by NVIDIA’s CEO as a disruptive threat. Together, these actions reflect a broader trend: leading AI labs are deliberately pacing releases, hiding strengths, and aligning disclosures with competitive dynamics—each avoiding the risk of exposure in a forest where first movers become targets.

marsbit58 хв тому

AI Giants Enter the Dark Forest

marsbit58 хв тому

Торгівля

Спот
Ф'ючерси
活动图片