如何养成Web3链上好习惯?TON生态防钓鱼指南

币界网Опубліковано о 2024-08-09Востаннє оновлено о 2024-08-09

币界网报道:

来源:Beosin

随着TON生态的快速发展,越来越多的用户开始进入TON生态。在此背景下,很多黑客早已伺机而动,利用TON集成先进的诈骗检测工具的时间窗口,部署各种钓鱼网站,实施欺诈行为,并且这种现象日渐猖獗。这不仅对用户的资产安全构成了严重威胁,也对整个TON生态的健康发展带来了负面影响。

作为TON生态的安全合作伙伴,针对此类安全风险,Beosin整理了三种典型的钓鱼攻击案例,包含钱包钓鱼、网站钓鱼、中心化工具钓鱼,并为用户提供相对应的预防措施,帮助大家安全地交互TON生态项目。

一、  钱包中的钓鱼风险

1.  NFT钓鱼

在用户参与TON生态交互中,用户经常会在钱包中收到NFT。不明来源的NFT通常是由黑客发送的:

除了NFT的名字具有诱骗性外,用户在查看NFT内容时,有可能会访问黑客事先准备好的钓鱼网站,从而受到钓鱼攻击。

2.  零转账钓鱼

在TON网络中,零转账钓鱼十分猖獗。黑客通过零转账向用户钱包发送钓鱼网站信息,用户在查看其交易活动时可能上当受骗:

为避免以上钓鱼攻击,Beosin建议用户:

1.  保持警惕,对于收到的任何NFT和链接都应该先确认来源,不要轻易访问其网站并链接钱包或是直接输入助记词

2.  选择TonKeeper、MyTonWallet等支持识别可疑交易和NFT的钱包。用户有机会在第一时间发现钓鱼骗局,避免资产损失。

3.  在尝试转账给其它地址时,可以先使用KYT工具查询收款地址风险。目前Beosin KYT已支持TON网络,自动识别TON网络中的中高风险地址

Beosin KYT

二、被误解的Comment字段

由于TON网络中的Jetton代币并没有类似ERC20代币的授权功能,因此用户在钓鱼网站中链接TON的钱包后,黑客通常是直接发起转账请求,将用户钱包中的代币转移至黑客地址。如下图所示:

在交易请求中,黑客会利用Comment字段误导用户以为自己在获取奖励或是领取代币,从而确认钓鱼交易,造成损失。

以Scam Sniffer发现的这起钓鱼事件为例,黑客将Comment字段内容设置为“Received +5,000 USDT”。

用户看到的交易请求如下图所示,非常容易误以为完成这笔交易后就可以收到5000 USDT,从而着急确认交易。实际上这笔交易是将受害者钱包中的4.52个TON转移到黑客的地址中。

用户需注意Comment字段主要用于留言、地址识别,并不代表交易结果。因为Comment字段的内容可以由发起交易的人任意设定,请不要相信Comment字段中的任何内容。

三、中心化风险

TON生态小游戏的火热和TG Bot的便利性让更多用户选择直接使用Telegram及Wallet钱包,而非自托管的其它钱包去参与到玩游戏、交易的过程中。如果用户的Telegram账号被盗,那么Wallet钱包中的资产也会被黑客控制。用户需开启Telegram的二步验证提高其账号的安全性。

尽管现在的小游戏和TG Bot如雨后春笋般诞生,但大部分的应用多专注于功能性的实现,而对于安全的考量仍然存在一些缺漏。例如直接让用户导入私钥或是为用户创建新的钱包。这些操作让这些应用实质上掌握了用户的全部资产,容易出现Rug等中心化风险。

总结

在深入了解了TON生态的钓鱼手段和风险之后,我们可以发现,TON生态尽管充满了前景与可能性,但也伴随着不少风险与安全挑战。用户必须对持有的资产保持高度的警惕和谨慎。从选择安全性更高的钱包、使用地址风险分析工具,到提高自身反钓鱼意识,这些预防措施能够在很大程度上降低风险,保护用户的资产安全。我们鼓励所有用户在参与TON生态项目交互时保持谨慎,在Web3的世界中,安全永远是第一位的。

Пов'язані матеріали

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbit2 год тому

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbit2 год тому

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbit4 год тому

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbit4 год тому

Deconstructing Notion's Growth: From a Note-taking Tool to 100 Million Users—How Notion Built a Triple Growth Flywheel Through Product, Templates, and Community

Notion's growth from a niche note-taking tool to a platform with 100 million users is powered by three interconnected flywheels: Product-Led Growth (PLG), a Template Economy, and Community-Driven Growth. First, Notion's PLG strategy relies on a highly flexible, "plastic" product that users can adapt to countless personal and team workflows. Its freemium model lowers the barrier to entry, while features like page sharing and collaboration drive organic, usage-based viral growth as users naturally invite others. Second, the Template Economy solves the "blank page" problem. Templates, created by both Notion and its community, transform abstract product capabilities into concrete, copyable solutions for specific scenarios (e.g., project management, content calendars). This dramatically lowers activation costs for new users and fuels SEO-driven discovery. Third, a vibrant Community acts as a distributed growth engine. Users and official Ambassadors create tutorials, share use cases, and host local events. This community not only educates users but also fosters a sense of identity around pursuing "better ways of working," strengthening loyalty and enabling global, low-cost expansion. Together, these flywheels create a self-reinforcing ecosystem: a great product attracts users who create templates and community content, which in turn attracts more users and deepens engagement. This system allowed Notion to scale from individuals to teams and enterprises through a bottom-up adoption path. Looking ahead, AI integration promises to accelerate these flywheels further by making templates smarter and the platform a potential AI-native work operating system. Ultimately, Notion's defensible advantage is not just its features, but this deeply entrenched network of user assets, creators, and community trust.

marsbit4 год тому

Deconstructing Notion's Growth: From a Note-taking Tool to 100 Million Users—How Notion Built a Triple Growth Flywheel Through Product, Templates, and Community

marsbit4 год тому

$10 Billion, Qualcomm to Acquire Chip Legend Jim Keller's Company

Global mobile chip giant Qualcomm is in advanced talks to acquire AI chip startup Tenstorrent in a deal valued between $8-10 billion, according to media reports. This potential acquisition would be one of the largest in the AI chip sector in recent years. Tenstorrent, led by legendary chip architect Jim Keller, has gained prominence for its RISC-V architecture and AI accelerator designs. The move highlights Qualcomm's strategic push to diversify beyond its core smartphone chip business. As the smartphone market matures, Qualcomm is aggressively targeting growth in automotive, data center, and cloud AI. Acquiring Tenstorrent would allow Qualcomm to rapidly enter the high-end AI computing market, bypassing lengthy in-house development cycles. Tenstorrent's cost-effective system architecture, which avoids expensive HBM memory and relies on standard Ethernet for clustering, offers a potential alternative to Nvidia's costly solutions. Furthermore, Tenstorrent's high-performance RISC-V CPU technology and its focus on the automotive and edge computing segments align with Qualcomm's strategic goals, including its "Snapdragon Digital Chassis" platform. Despite the strategic rationale, the high valuation has sparked some investor caution. The successful integration of Tenstorrent's open-source culture and independent team into Qualcomm's organization, along with the commercialization of its technology, remains a key challenge.

marsbit5 год тому

$10 Billion, Qualcomm to Acquire Chip Legend Jim Keller's Company

marsbit5 год тому

Торгівля

Спот
Ф'ючерси
活动图片