NFT防范指南:一文了解常见的NFT诈骗手法

PanewsPublished on 2023-10-18Last updated on 2023-10-18

Abstract

加密行业的黑暗森林危机四伏,NFT被盗事件和金额逐年增多,本文将梳理常见的骗局类型及防范技巧。

加密行业的黑暗森林危机四伏,暗藏着各式各样的危机与陷阱,资产被盗的剧情经常上演,热门赛道NFT和知名玩家们亦不能幸免。NFT项目Moonbirds创始人Kevin Rose在1月25日证实,其个人钱包遭到黑客攻击,共丢失25枚Chromie Squiggles以及其它NFT。

“”

随着NFT被盗事件和金额增多,本文将梳理常见的骗局类型及防范技巧。

“”

一、NFT骗局知多少

“”

NFT市场规模与日俱增的同时,“零元购”被盗事件愈发频繁,且攻击手法层出不穷。

“”

1、虚假广告窗口

“”

近期,加密KOL NFT God发推称,因黑客入侵其Twitter、Substack、Gmail、Discord和钱包,导致其损失全部加密资产和NFT,黑客还通过盗取的账号发布诈骗链接。被黑原因为此前在新设备上把Ledger设置为热钱包而不是冷钱包,助记词在联网电脑上的钱包导入使用后,然后在下载视频流软件OBS进行游戏直播后,点击了谷歌上的赞助商链接下载了恶意软件,使黑客可以访问其资金。实际上,谷歌的广告允许任何人绕过排名并在搜索结果排在第一位,而用户点击这类展示广告的概率非常高,这也为诈骗提供了更多可能性。

“”

2、虚假空投诱骗

“”

“高价”收购被空投NFT是种新型诈骗手段,受害者在收到一些不知名的NFT空投后,会被诈骗者开出高价进行收购。如果投资者选择交易该NFT,会在因一些特殊原因导致交易报错提示时进入虚假的钓鱼诈骗网站进行授权,最终导致自己资产被盗。

“”

3、伪造NFT

“”

今年3月,日本东京的Whitestone发布一起NFT相关诈欺公告,表示有非官方人士假借白石画廊之名义,贩售知名艺术家草间弥生之NFT。其实,市面上有不少诈骗者通过剽窃艺术家作品并在NFT市场上架假版本,使得不少人购买了无任何价值假NFT。不仅如此,还有些骗局会在NFT交易平台上传名称相似的假冒项目,甚至还会创建几笔交易来迷惑用户,对于一些习惯使用搜索功能的用户而言非常容易中招。

“”

4、虚假电子邮件

“”

今年2月,OpenSea官方进行智能合约升级,用户需将他们在以太坊上的NFT列表迁移至新的智能合约中。黑客趁机伪装成官方给用户发了一封升级提醒邮件,不少防范意识不强的用户对钓鱼链接进行了钱包授权后导致NFT资产被盗,包括Bored Ape Yacht Club、Cool Cats、Doodles和Azuki等。

“”

由于不少NFT项目要求用户进行邮箱绑定来第一时间获取消息,这也使得很多攻击者冒充官方并以合约地址修改、钱包重新验证等由向用户发送钓鱼链接,因此邮箱也成为了诈骗的重灾区。

“”

5、官方被黑或被伪装

“”

或因员工被钓鱼攻击、下载恶意软件、未设置双重认证等多方面原因,NFT项目的官方账号也常常被黑。2022年4月,Bored Ape Yacht Club官方Instagram帐户遭到黑客攻击,黑客利用该Instagram账户分享了一个仿冒无聊猿游艇俱乐部网站的欺诈链接,其中包含让用户将他们的MetaMask连接至诈骗钱包以参与虚假空投,随后黑客窃取了价值超过280万美元的NFT。同年6月,Yuga Labs的Discord服务器被黑,攻击者利用该账户在官方BAYC及元宇宙项目中发布钓鱼链接后获利。

“”

当然,还有些诈骗者通过伪造NFT项目的官方账户并取得用户信任后,会发送钓鱼网站让他们签名,即不花费任何资金就可购买账户内的NFT,而大部分用户是无法辨别由一串数字和字母组合的签名内容中的问题。此外,私信链接是是常用的行骗方式,他们往往会通过Telegram、Discord等平台中的各类社区批量私信成员,甚至冒充管理员来骗取用户的钱包私钥。

“”

6、生成相同尾号地址

“”

通常而言,大部分用户只会通过检查合约地址前后位数来判断地址是否正确,这也给了攻击者机会。他们会利用用户复制历史交易记录中过往地址的习惯,伪造一份前后相同位数的合约并不断空投小额数量的Token,若用户不仔细检查完整地址则很容易被盗取资产。另外,除了相同尾数骗局,零转账的链上地址投毒攻击也需警惕,不少用户会将该地址当作可信的交互地址。

“”

二、资产保护的正确姿势

“”

链上操作是不可逆的。被盗取资产后,大部分人其实很难再找回,特别是没有任何技术技能的普通用户。那么,该如何避免自己资产被诈骗?

“”

1、保护好私钥或助记词:与电子邮件、社交平台等Web2账户泄露可更改密码不同,私钥与助记词作为钱包的“钥匙”无法修改与找回,一旦泄露资产就会被洗劫一空。攻击者会通过NFT空投/抽奖、Free Mint等FOMO情绪诱导用户发送自己的私钥或助记词,甚至还会伪装成官方管理员、搭建假域名网站等种方式来降低用户的警惕性。

“”

2、收藏常用网站并甄别官方社交账号:虽然钓鱼网站是最容易被识别的,但NFT资产被盗的主要原因之一。实际上,这类网站无论被包装的多精美(可检查域名、网址拼写等),最终目的是与钱包交互,用户应该保持谨慎态度,收藏经常使用的官方网站,从官网进入社交账号(可通过粉丝数、账户活动、评论参与度等方面进行判断),及别轻易点开私信或邮件分享的链接将很大程度上避开资产被盗的可能性。另外,虽然大部分用户不具备辨别合约风险的能力,但通过安装反网络钓鱼插件,也将有效协助识别部分钓鱼网站。

“”

3、资产隔离并定期检查:使用多个钱包参与NFT交易和铸造等行为,且储存资产和应用交互的钱包需做好隔离,特别是存有大额资金的钱包应避免任何交互。此外,用户还需定期检查钱包是否存在与异常合约交互并及时取消授权。

“”

4、多方信息交叉认证:在参与和铸造NFT前尽职调查非常重要,用户可通过检查社交账户是否验证、多个渠道交叉检查项目信息等方式来评估。

“”

5、仔细核对地址:对于任何转账行为,用户需检查完整的合约地址,也可使用钱包的地址簿转账功能通过直接选择地址转账。另外,对于一些参与项目的合约地址,用户可从官方渠道获取地址,避免被中间攻击者修改。

“”

当然,随着技术的不断进步,资产盗取手法也在与时俱进,因此一旦自己的资产被盗,用户需第一时间隔离自己的资产并更改社交账号密码等个人信息,同时还需告知其他被诈骗账户的相关信息。若是病毒性攻击,还需将电脑等设备进行断网。此外,用户还可以寻求专业的安全公司进行资金追查,以最大程度弥补资金损失。

Related Reads

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit17m ago

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit17m ago

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit21m ago

Token Inefficient, Economy Tokenless

marsbit21m ago

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

In 2026, a historic shift occurred in AI as major cloud providers' inference spending surpassed training spending for the first time, signaling a move from "building large models" to "using large models." This shifts the core challenge from computing power to the "memory wall"—the bottleneck of data movement (model weights, activations, KV Cache) between external DRAM and processors, where energy and latency from data transfer far exceed computation itself. Companies like Nvidia face GPU idle time due to bandwidth limits. In contrast, Cerebras Systems adopts a radical "wafer-scale" approach with its Wafer-Scale Engine (WSE). Instead of cutting a silicon wafer into many chips, Cerebras uses almost the entire wafer as one massive chip (WSE-3). This design provides 44GB of on-chip SRAM, delivering memory bandwidth thousands of times higher than traditional HBM (e.g., 21 PB/s vs. Nvidia B200). For LLM inference, weights are streamed layer-by-layer from external MemoryX storage to the chip, avoiding HBM bottlenecks. This results in token generation speeds 1.5–5 times faster than Nvidia's B200 in some models and significant advantages in first-token latency and long-context tasks. Additionally, Cerebras's architecture offers much lower interconnect power consumption (0.15 pJ/bit vs. GPU's ~10 pJ/bit). However, Cerebras faces challenges: SRAM scaling has slowed with advanced nodes, limiting future capacity gains; the chip requires specialized liquid cooling and custom software stacks; and its external I/O bandwidth (150 GB/s) is low compared to NVLink, hindering multi-system scaling for very large models. Competition is intensifying. Major players are pursuing three paths: 1) Developing proprietary inference ASICs (e.g., Google TPU, Microsoft Maia), 2) Leveraging advanced packaging (e.g., TSMC's SoW) to democratize wafer-scale-like integration, potentially eroding Cerebras's process advantage within a few years, and 3) Exploring optical interconnects for ultimate bandwidth. Commercially, Cerebras is transitioning from a hardware vendor to a service provider, facing the immense challenge of building high-power, specialized data centers to meet large contracts (e.g., 250MW/year from 2026–2028). In conclusion, the AI inference era presents a fundamental architectural trade-off. Cerebras opts for extreme physical optimization for low-latency, single-task performance, while Nvidia prioritizes versatility and massive cluster throughput. The path forward remains uncertain, with technology and business models still evolving in the race toward advanced AI.

marsbit27m ago

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

marsbit27m ago

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

**Title: Has Bitcoin's Rebound Ended, Entering the Late Bear Market Phase?** **Summary:** Bitcoin's price has declined by 13% this week, signaling a potential return to late-stage bear market conditions. The price fell to around $67k, positioned between the Realized Price and Realized Cap Weighted Average. For the first time since early 2022, the Short-Term Holder cost basis has dropped below this key average, confirming a hallmark of late-cycle bear markets. Profitability metrics have collapsed sharply. The 7-day average of the Realized Profit/Loss ratio plummeted from a local high of 3.16 to 0.29, mirroring the February panic sell-off. Critically, the 90-day average never breached the threshold of 2, indicating the recent rally to $82k was a bear market bounce, not a structural shift. Realized losses surged to $1.35 billion daily, with $770 million coming from Long-Term Holders selling at a loss. This accelerating redistribution of supply from weak to strong hands is a necessary but ongoing process for a market bottom. The rally stalled almost precisely at the aggregate cost basis (~$83k) of US spot Bitcoin ETF investors, turning that level into strong resistance and leaving the average ETF holder underwater again. Spot market flows have turned decisively negative, showing sellers are dominating order books despite the price drop. While a significant futures long liquidation event cleared over $400 million in leverage, providing a potential reset, sustained spot demand is yet to materialize. Options markets continue to price in higher future volatility (Implied Volatility) than recent price action (Realized Volatility) has shown, with a persistent skew towards put options, indicating ongoing demand for downside protection. In conclusion, multiple metrics point to a fragile market structure. Resistance at the ETF cost basis, accelerating realized losses, dominant spot selling, and cautious options pricing all suggest the bear market trend persists. A sustainable recovery likely requires a resurgence of spot demand, ETF holders returning to profit, and a clear reduction in selling pressure.

marsbit28m ago

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

marsbit28m ago

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

In today's TechFlow Intelligence Briefing, several major tech stories highlight a growing theme of trust and credibility gaps across AI, crypto, and finance. AI company Anthropic has publicly called for a global pause in AI development, citing risks from Claude's "recursive self-improvement." Ironically, this coincides with reports the company is preparing for a massive IPO targeting a near $1 trillion valuation. This perceived hypocrisy, coupled with widespread user complaints about Claude's declining performance, is sparking debate over whether the safety warning is genuine or a competitive tactic. Meanwhile, in a substantive security move, Anthropic open-sourced a framework for AI-powered vulnerability discovery. In the crypto market, Bitcoin's price drop below $61,000 triggered over $1.16 billion in liquidations, flipping the market into a state where more BTC is held at a loss than at a profit, a historical bearish signal. On the corporate front, SpaceX's highly anticipated IPO is generating immense Wall Street excitement, with Goldman Sachs projecting 100x revenue growth by 2030. However, the S&P 500 has refused to fast-track the company's inclusion post-IPO, potentially limiting immediate institutional demand. Separately, ByteDance's AI app Doubao lost over 6 million monthly active users after introducing a subscription model, highlighting the challenges of AI monetization. Other notable developments include Nvidia certifying HBM4 memory from Samsung, SK Hynix, and Micron; Cloudflare's acquisition of front-end tooling company VoidZero; and its CEO warning that bot traffic now exceeds human traffic online. The underlying narrative connects these events: a trust crisis. From AI firms' contradictory actions and crypto volatility to the clash between SpaceX's hyped narrative and institutional rules, a pattern is emerging where stated intentions and actual practices are increasingly misaligned.

marsbit43m ago

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

marsbit43m ago

Trading

Spot
Futures

Hot Articles

How to Buy NFT

Welcome to HTX.com! We've made purchasing AINFT (NFT) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy AINFT (NFT) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your AINFT (NFT)After purchasing your AINFT (NFT), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade AINFT (NFT)Easily trade AINFT (NFT) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

6.9k Total ViewsPublished 2024.03.29Updated 2026.06.02

How to Buy NFT

What is Altura NFT?

Altura: Providing One-Stop NFT Solutions for Game Developers

55.9k Total ViewsPublished 2024.06.12Updated 2024.06.12

What is Altura NFT?

What is AINFT

EternaFi Agents and $AINFT: A Comprehensive Analysis of AI-Powered NFT Infrastructure in the Web3 Ecosystem The intersection of artificial intelligence (AI) and blockchain technology is rapidly evolving, establishing innovative platforms that redefine ownership models and economic participation. EternaFi Agents, along with its native token $AINFT, exemplifies a groundbreaking approach to the tokenization of AI infrastructures through the means of non-fungible tokens (NFTs). Launched in July 2025 by the development team at Nova Club, EternaFi merges the advancements of AI with the decentralized financial mechanisms of blockchain, presenting a unique investment opportunity for participants within the web3 ecosystem. This article aims to provide an in-depth assessment of EternaFi Agents, covering its core components, functionality, and significance within the crypto landscape. Introduction and Project Overview EternaFi Agents stands as a salient example of how blockchain technology can democratize access to advanced AI capabilities. The project endeavors to reshape the paradigm of AI ownership by diversifying economic participation, making sophisticated AI systems accessible to a larger pool of stakeholders. At its core, the project tokenizes a proprietary large language model (LLM) developed by Nova Club, allowing NFT holders to gain fractional exposure to the model's economic performance. By utilizing NFTs representing stakes in the LLM, EternaFi Agents fosters a model wherein stakeholders not only participate in AI service consumption but also enjoy sharing in the economic rewards generated by the platform. This transformative approach enables the development of sustainable revenue models for AI services, all the while promoting broad community engagement and facilitating transparent governance. What is EternaFi Agents? EternaFi Agents represents an AI-NFT infrastructure project that aims to blend the capabilities of AI with blockchain technology in a coherent ecosystem. The essential feature of this project is the creation of NFTs that serve as financial instruments, representing fractions of ownership in Nova Club's proprietary AI infrastructure. Each NFT symbolizes direct exposure to the economic performance of the underlying AI system, providing a lucrative opportunity for investors. The project operates on the Base blockchain, known for its scalability and efficiency, thus ensuring manageable transaction costs while facilitating a seamless operational experience. One of the notable features includes a revenue-sharing mechanism, wherein NFT holders can receive portions of subscription income generated by the AI services provided on the platform. This innovative approach establishes a connection between the success of the AI services and the economic dividends distributed among the holders, thus ensuring an alignment of interests across the community. Who is the Creator of EternaFi Agents? The creative force behind EternaFi Agents is Nova Club, a development team based in Singapore proficient in the amalgamation of AI and blockchain technology. Their prior experience in AI development and cryptocurrency analysis gives credence to the project, contributing a breadth of expertise to the creation of EternaFi Agents. Nova Club’s mission centers on democratizing access to cutting-edge AI technologies while building sustainable economic models that benefit users alongside developers. Their commitment to transparency, community governance, and innovation is reflected in the design and implementation of the EternaFi platform, aiming to establish a unique ecosystem that fosters positive engagement and long-term value creation. Who are the Investors of EternaFi Agents? The specific details concerning investors or investment organizations backing EternaFi Agents are not publicly available. However, EternaFi has adopted an inclusive approach to funding its development through the sale of NFTs to the public, allowing a wide array of participants to invest in the ecosystem. The project’s architecture ensures that core infrastructure is funded responsibly while allowing community members to partake in the ownership and economic returns generated from the AI services. This model emphasizes community engagement by aligning the interests of investors and project developers, creating a collaborative environment where long-term participation is incentivized. How Does EternaFi Agents Work? EternaFi Agents operates through a multifaceted ecosystem where NFTs serve as a primary means of ownership representation within the project. Each NFT holder is entitled to a share of the monthly subscription income produced by the underlying AI-powered platform, thereby positioning NFT ownership as a lucrative investment vehicle. Revenue Generation Mechanism The primary source of revenue generation for the EternaFi platform stems from subscription fees related to the AI services provided. Users can access various tiered services, ranging from basic market analysis tools to comprehensive AI-assisted trading solutions. These services are monetized and form the basis for the revenue-sharing framework, which distributes profits to NFT holders through automated smart contracts. An innovative feature of the EternaFi ecosystem is the revenue-sharing mechanism that operates transparently, ensuring that rewards are allocated based on verifiable metrics from the AI platform's operations. This creates a direct link between the performance of AI services and the returns available to community investors, establishing a sustainable economic model. Staking and Vesting Mechanisms Participants within EternaFi can engage in staking their NFTs to unlock additional economic benefits. The vesting schedule is designed to promote long-term commitment among participants, rewarding those who exhibit ongoing support for the project. This ensures a robust alignment of interests and fosters a sense of community engagement essential for achieving the project's long-term goals. Transparent Governance EternaFi Agents embraces decentralized governance, allowing NFT holders to play an active role in decision-making regarding the platform's development and future directions. The governing structure includes community voting mechanisms, providing NFT holders with the opportunity to influence significant decisions and contributing to a collaborative approach to project growth. Timeline of EternaFi Agents The development trajectory of EternaFi Agents showcases a systematic approach toward building a sustainable AI infrastructure while meeting the needs of community participants. Below is a timeline of important milestones in the project’s history: July 2025: Launch of EternaFi Agents, including the public sale of NFTs and deployment of the $AINFT token on the Base blockchain. Q4 2025: Establishment of market infrastructure including liquidity pools and launch of staking dashboards for NFT holders. 2026: Initiation of community engagement programs, expanding AI capabilities, and integration with cross-chain technologies. Q4 2026: Implementation of the dividend distribution system, allowing NFT holders to reap economic benefits from their investments. These milestones signify the focus on establishing a functional and participative ecosystem while ensuring continuous evolution to meet market demands. Technological Infrastructure and Blockchain Integration EternaFi Agents is anchored in an advanced technological framework combining AI systems with blockchain capabilities. Operating on the Base blockchain, the project leverages the advantages of scalability and low transaction costs. The underlying smart contract architecture governs the NFT ownership, revenue sharing, and community management features, ensuring efficiency and transparency. AI System Development The proprietary large language model underpinning EternaFi Agents has been independently developed and designed to cater to revenue-generating applications without reliance on proprietary external frameworks. This endeavor reflects a commitment to creating a versatile and adaptable AI infrastructure capable of delivering meaningful services to users, thus generating economic value for investors. Security Measures The robustness of EternaFi’s security infrastructure is paramount. Regular audits and stringent security measures ensure the integrity of the AI systems and blockchain mechanisms, safeguarding against potential vulnerabilities while fostering confidence among participants. Conclusion EternaFi Agents signifies a landmark innovation within the realm of artificial intelligence and blockchain technology, opening avenues for community ownership and economic participation in advanced AI capabilities. The project’s comprehensive strategy to tokenize AI infrastructure via NFTs establishes a precedent for future decentralized ecosystems. By harmonizing technical sophistication with user-centric economic models, EternaFi not only fosters engagement but also generates a sustainable revenue-sharing framework for community participants. The significance of EternaFi extends well beyond its operational success as it exemplifies how blockchain can democratize cutting-edge AI technologies, paving the way for future ventures in this intersectional space. The evolution of EternaFi Agents may herald a new era of AI development characterized by participant-driven governance, sustainable economic models, and transparent verification, ultimately contributing to the broader democratization of AI and technology accessibility across industries.

3.9k Total ViewsPublished 2025.08.14Updated 2025.08.14

What is AINFT

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 NFT (NFT) are presented below.

活动图片