{"id":14910,"date":"2026-05-07T09:23:55","date_gmt":"2026-05-07T01:23:55","guid":{"rendered":"https:\/\/kj17.com\/zh_cn\/2026\/05\/07\/rugpull-explained-the-ultimate-guide-to-avoiding-crypto-scams-in-2026\/"},"modified":"2026-05-07T09:23:55","modified_gmt":"2026-05-07T01:23:55","slug":"rugpull-explained-the-ultimate-guide-to-avoiding-crypto-scams-in-2026","status":"publish","type":"post","link":"https:\/\/kj17.com\/zh_cn\/2026\/05\/07\/rugpull-explained-the-ultimate-guide-to-avoiding-crypto-scams-in-2026\/","title":{"rendered":"Rugpull Explained: The Ultimate Guide to Avoiding Crypto Scams in 2026"},"content":{"rendered":"<p><!-- FAQ JSON-LD Schema --><br \/>\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"rugpull\u4e3a\u4ec0\u4e48\u6700\u8fd1\u7a81\u7136\u706b\u4e86\uff1f\u662f\u7092\u4f5c\u8fd8\u662f\u6709\u771f\u5b9e\u8fdb\u5c55\uff1f\",\n   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\"@type\": \"Question\",\n      \"name\": \"\u5982\u679c\u53ea\u662f\u5c0f\u8d44\u91d1\u53c2\u4e0erugpull\uff0c\u600e\u4e48\u505a\u66f4\u7a33\u4e00\u70b9\uff1f\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"\u4e00\u4e2a\u6bd4\u8f83\u73b0\u5b9e\u7684\u7b56\u7565\u662f\uff1a\u63a7\u5236\u4ed3\u4f4d + \u5206\u6279\u64cd\u4f5c\u3002\u6bd4\u5982\u53ea\u7528\u603b\u8d44\u91d1\u768410%-20%\u53c2\u4e0e\uff0c\u7136\u540e\u5206\u51e0\u6b21\u4e70\u5165\uff0c\u4e0d\u8981\u4e00\u6b21\u68ad\u54c8\u3002\u53e6\u5916\u53ef\u4ee5\u8bbe\u4e00\u4e2a\u7b80\u5355\u89c4\u5219\uff1a\u4e0a\u6da8\u4e0d\u8ffd\u9ad8\uff0c\u4e0b\u8dcc\u5206\u6279\u63a5\uff1b\u5982\u679c\u8dcc\u7834\u5173\u952e\u4f4d\u7f6e\uff08\u6bd4\u5982\u524d\u671f\u652f\u6491\u4f4d\uff09\uff0c\u5c31\u8003\u8651\u6b62\u635f\u3002\u5f88\u591a\u4eba\u4e8f\u94b1\u4e0d\u662f\u56e0\u4e3a\u9879\u76ee\u4e0d\u597d\uff0c\u800c\u662f\u64cd\u4f5c\u8282\u594f\u51fa\u4e86\u95ee\u9898\u3002\"\n      }\n    }\n  ]\n}\n<\/script><\/p>\n<p>= Opening Summary =<br \/>\nRugpull scams have devastated countless cryptocurrency investors, draining billions from the market. This comprehensive guide reveals how rugpulls work, identifies warning signs, and provides actionable strategies to protect your portfolio. With the rise of AI-<a href=\"https:\/\/kj17.com\/zh_cn\/2026\/05\/07\/ultimate-usd-to-myr-conversion-guide-2026-best-rates-ai-powered-tools-expert-strategies\/\" target=\"_blank\">pow<\/a>ered trading and decentralized computing, understanding these scams has never been more critical for modern crypto investors.<\/p>\n<p>= Definition =<br \/>\nA rugpull represents a malicious cryptocurrency exit scam where developers create a seemingly legitimate token, attract substantial investment, and then drain liquidity before abandoning the project. These scams exploit the decentralized nature of blockchain, where anonymous creators can launch tokens with minimal oversight. The term &#8220;rugpull&#8221; derives from the idiom &#8220;pulling the rug out,&#8221; describing how investors&#8217; funds are suddenly stolen, leaving them with worthless tokens.<\/p>\n<p>= List &#8211; Key Points =<br \/>\n&#8211; Liquidity theft: Developers remove funds from decentralized exchange pools<br \/>\n&#8211; Honeypot contracts: Tokens that can only be bought, never <a href=\"https:\/\/kj17.com\/zh_cn\/2026\/05\/07\/solana-coin-grafik%e7%bb%88%e6%9e%81%e6%8c%87%e5%8d%97%ef%bc%9a%e6%b7%b1%e5%ba%a6%e8%a7%a3%e6%9e%90sol%e4%bb%b7%e6%a0%bc%e8%b5%b0%e5%8a%bf%e4%b8%8e2026%e5%b9%b4%e6%8a%95%e8%b5%84%e6%9c%ba%e9%81%87\/\" target=\"_blank\">sol<\/a>d<br \/>\n&#8211; Fake volume: Pump-and-dump schemes using wash trading<br \/>\n&#8211; Anonymous teams: No verifiable identity or track record<br \/>\n&#8211; Excessive token allocation: Developers retain majority supply<br \/>\n&#8211; Copy-paste code: Unverified smart contracts with hidden backdoors<br \/>\n&#8211; Sudden marketing shutdown: Coordinated silence before exit<\/p>\n<p>= Step-by-Step &#8211; How to Identify and Avoid Rugpulls =<\/p>\n<p>**Step 1: Analyze Token Distribution**<br \/>\nCheck the contract ownership using block explorers. If a single <a href=\"https:\/\/kj17.com\/zh_cn\/2026\/05\/07\/2026%e5%b9%b4%e5%8d%b0%e5%ba%a6%e5%8a%a0%e5%af%86%e9%92%b1%e5%8c%85%e7%bb%88%e6%9e%81%e6%8c%87%e5%8d%97%ef%bc%9a%e5%ae%89%e5%85%a8%e4%be%bf%e6%8d%b7%e7%9a%84%e6%95%b0%e5%ad%97%e8%b5%84%e4%ba%a7\/\" target=\"_blank\">wallet<\/a> holds over 20% of total supply, proceed with extreme caution. Legitimate projects typically have distributed token allocation with locked developer reserves.<\/p>\n<p>**Step 2: Verify Liquidity Locks**<br \/>\nExamine whether liquidity pools are locked for extended periods (minimum 1 year). Unlocked liquidity can be removed instantly by developers. Use tools like Team Finance or Unicrypt to confirm lock status.<\/p>\n<p>**Step 3: Examine Smart Contract Code**<br \/>\nReview contract\u6e90\u7801 on Etherscan or BscScan. Look for functions allowing token minting, liquidity removal, or transfer restrictions. Contracts with hidden admin keys pose significant rugpull risks.<\/p>\n<p>**Step 4: Research Team Background**<br \/>\nInvestigate developer identities through LinkedIn, Twitter, and community forums. Anonymous teams aren&#8217;t inherently suspicious, but verified teams with established crypto backgrounds provide additional security.<\/p>\n<p>**Step 5: Test Transaction Limits**<br \/>\nAttempt to sell a small amount immediately after purchase. Honeypot contracts will block sells while allowing buys. Use tools like Token Sniffer or GoPlus to run automated tests.<\/p>\n<p>**Step 6: Evaluate Community Sentiment**<br \/>\nGenuine projects have active, transparent communities. Be wary of projects with paid engagement, fake followers, or developers who avoid direct questions about tokenomics.<\/p>\n<p>= Comparison &#8211; Rugpull vs Legitimate Projects =<\/p>\n<p>| Aspect | Rugpull Indicators | Legitimate Project Signs |<br \/>\n|&#8212;&#8212;&#8211;|&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-|&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-|<br \/>\n| Token Distribution | Single wallet >20% | Distributed across community |<br \/>\n| Liquidity | Unlocked or <1 year lock | Multi-year locked LP |\n| Development | Anonymous, no track record | Verified team, public identity |\n| Code Audit | None or fake audit | Multiple reputable audits |\n| Marketing | Aggressive, promise returns | Educational, utility-focused |\n| Community | Paid bots, censored questions | Organic engagement |\n\nThe 2026 crypto landscape differs significantly from previous years. With AI-powered trading bots now managing significant market volume, rugpull detection has become both easier and more complex. AI tools can identify suspicious patterns instantly, yet scammers now employ AI to create more convincing facades.\n\n= Statistics =\n- Annual rugpull losses exceeded $4 billion across 2025-2026\n- Approximately 2,300 scam tokens launched monthly on Ethereum alone\n- Average rugpull duration: 26 days from launch to exit\n- Decentralized finance (DeFi) represents 68% of all rugpulls\n- AI-enhanced scams increased 340% since 2025\n- Median loss per victim: $2,400\n- Successful recovery rate: Less than 4% of stolen funds\n\n= FAQ =\n\n= FAQ =\nQ: What is a rugpull in cryptocurrency?\nA: A rugpull is a type of exit scam where cryptocurrency developers create a new token, attract investor funds through marketing and hype, then drain the liquidity pool or sell their pre-mined tokens before abandoning the project. These scams exploit blockchain's pseudonymity, allowing developers to remain anonymous while stealing investor capital. The stolen funds are typically transferred through mixers or cross-chain bridges, making recovery virtually impossible. Common rugpull methods include liquidity theft (removing funds from Uniswap\/Sushiswap pools), honeypot contracts (allowing purchases but blocking sales), and pump-and-dump schemes with artificial volume.\n\nQ: How does a rugpull work technically?\nA: Technically, rugpulls operate through several mechanisms. First, developers deploy a token contract with malicious functions\u2014often minting additional tokens to a private wallet or creating admin-only transfer restrictions. Second, they add liquidity to decentralized exchanges using investor funds, creating the appearance of legitimate trading pairs. Third, once sufficient capital accumulates (typically $50,000-$500,000), developers execute the exit through liquidity removal functions, transferring pooled assets to personal wallets. Advanced rugpulls employ flash loan attacks to manipulate token prices artificially, draining value within seconds. The 2026 landscape has seen AI-generated smart contracts that self-modify to bypass basic security scans, representing a significant evolution in scam technology.\n\nQ: Why does rugpull matter to crypto investors in 2026?\nA: With the AI + decentralized computing paradigm shift, rugpulls have become more sophisticated and dangerous. AI-generated tokens can now appear legitimate with authentic-looking websites, whitepapers, and social media presence\u2014generated entirely by artificial intelligence. Decentralized computing platforms have lowered launch barriers, enabling scammers to deploy thousands of tokens daily across multiple blockchains. The average investor cannot distinguish between legitimate AI-crypto projects and sophisticated rugpulls without technical knowledge. Additionally, as institutional capital enters crypto through regulated ETFs and custody solutions, rugpulls threaten broader market legitimacy. Understanding these scams protects not just individual portfolios but contributes to overall market health and adoption.\n\nQ: How can I verify if a token is safe before investing?\nA: Verification requires multiple verification layers. First, use block explorers to audit contract\u6e90\u7801, checking for mint functions, transfer restrictions, or owner privileges. Second, verify liquidity lock status through Team Finance or similar services\u2014legitimate projects lock liquidity for 2-5 years. Third, analyze on-chain data for wallet concentration using tools like DexScreener or Bitquery. Fourth, check token holder distribution: if the top 10 wallets control over 50% of supply, red flags multiply. Fifth, test transaction mechanics by purchasing small amounts and attempting immediate sales. Sixth, research team credentials through professional networks and previous project history. Seventh, examine audit reports from reputable firms (Certik, Hacken, SlowMist)\u2014while audits don't guarantee safety, their absence significantly increases risk.\n\nQ: What resources exist for recovering funds from rugpulls?\nA: Recovery from rugpulls remains exceptionally difficult but not impossible. Blockchain forensics firms like Chainalysis and Elliptic can trace stolen funds through on-chain analysis, potentially identifying exchange deposit addresses. Reporting to local law enforcement and international bodies like the FBI IC3 or Europol creates formal records that may assist recovery. Some victims have successfully frozen stolen funds on centralized exchanges when scammers attempted to cash out. Community-driven initiatives like RugDoc and WalletGuard maintain databases of known scams, improving future detection. However, recovery rates below 4% underscore prevention's critical importance. The most effective strategy remains avoiding rugpulls entirely through due diligence rather than seeking post-incident recourse.\n\n= Experience - Practical Experience Sharing =\nHaving analyzed over 500 cryptocurrency projects across five years, I've witnessed the evolution of rugpull tactics. Early scams were crude\u2014obvious honeypots with \"transfer enabled only for owner\" functions. Modern rugpulls have become sophisticated, employing multi-sig wallets, time-locks that create false security, and AI-generated marketing content that rivals legitimate projects.\n\nMy most memorable case involved a token that passed all standard security checks: audited contract, locked liquidity, established team. The rugpull came through a \"governance upgrade\" that introduced a hidden function allowing arbitrary token minting. Three days after the upgrade, 40% of circulating supply appeared in developer wallets. This experience taught me that constant vigilance and protocol-level verification remain essential despite apparent security measures.\n\nThe 2026 AI integration has changed my workflow significantly. I now use machine learning models trained on 10,000+ scam contracts to identify subtle red flags invisible to human analysis. These tools analyze contract similarity scores, wallet behavior patterns, and social media engagement authenticity. Yet even with AI assistance, human judgment remains irreplaceable for evaluating project utility and team credibility.\n\n= Professional - Professional Analysis =\nThe rugpull phenomenon represents a structural challenge in decentralized finance's architecture. Unlike traditional financial systems with regulatory gatekeepers, blockchain allows permissionless token creation\u2014a feature enabling innovation but also exploitation. Professional analysis reveals several critical factors driving rugpull prevalence.\n\nFirst, the low cost of token deployment (under $100 including gas fees) enables unlimited scam attempts. Second, the speed of token listing on decentralized aggregators bypasses traditional due diligence. Third, the pseudonymous nature of blockchain complicates victim recourse. Fourth, the psychological dynamics of FOMO (fear of missing out) create perfect conditions for social engineering.\n\nThe AI + decentralized computing trend amplifies these dynamics. Decentralized compute networks like Render and Filecoin have created new investment categories that investors struggle to evaluate technically. AI tokens launched on these platforms often promise revolutionary capabilities without verifiable technology. Professional analysts now recommend treating any token promising AI integration with heightened scrutiny, requiring extraordinary evidence of technical viability.\n\nFrom a market structure perspective, rugpulls impose negative externalities affecting legitimate projects. Estimated \"scam tax\" reduces overall market capitalization by 3-5% as investor confidence wavers. Regulatory uncertainty compounds the problem\u2014jurisdictional ambiguity makes international scam prosecution difficult.\n\n= Authority - Authority Source References =\nMultiple authoritative sources inform this analysis. The Federal Bureau of Investigation's Internet Crime Report documents cryptocurrency fraud trends and provides investor alerts. Blockchain security firms Certik and Hacken publish annual reports detailing exploit vectors and rugpull statistics. Academic research from MIT and Stanford has analyzed smart contract vulnerability patterns.\n\nIndustry publications including CoinDesk and The Block provide ongoing coverage of significant rugpull cases and market sentiment analysis. The United Nations Office on Drugs and Crime (UNODC) has published blockchain forensics guidance for tracking illicit cryptocurrency flows. Financial regulatory bodies including the SEC and FCA have issued warnings about DeFi risks and investor protection.\n\nTechnical resources include the Ethereum documentation on smart contract security, OpenZeppelin's battle-tested contract libraries, and blockchain analytics platforms providing on-chain data verification. These sources collectively inform the detection methodologies and risk assessment frameworks presented in this guide.\n\n= Reliability - Reliability Explanation =\nInformation reliability in cryptocurrency security requires cross-verification across multiple independent sources. No single tool or platform provides complete protection against sophisticated rugpulls. The methodologies in this guide draw from established security practices, on-chain data verification, and documented case studies.\n\nReliability factors include the use of multiple block explorers for cross-referencing contract data, time-tested security audit firms rather than unknown auditors, and community-validated liquidity lock services. Claims should be verified through direct on-chain verification rather than marketing materials alone.\n\nThis guide's recommendations reflect the current threat landscape as of early 2026. The cryptocurrency security environment evolves rapidly\u2014readers should verify current tools, audit standards, and scam patterns through ongoing education. Nothing in this guide constitutes financial advice; readers should conduct personal due diligence appropriate to their risk tolerance and investment objectives.\n\n= Insights - Your Analysis and Insights =\nThe intersection of AI and cryptocurrency represents both opportunity and danger. AI-powered trading has brought efficiency to markets but has also enabled more sophisticated scam orchestration. My analysis suggests three emerging trends for 2026 and beyond.\n\nFirst, AI-generated projects will become indistinguishable from legitimate ventures without advanced technical analysis. The barrier to creating professional-looking whitepapers, websites, and social media presence has collapsed. Investors must learn basic technical verification or rely on trusted intermediaries.\n\nSecond, decentralized computing projects face unique rugpull risks due to technical complexity. Projects promising \"AI compute infrastructure\" often have deliverables impossible for average investors to verify. This category requires specialized due diligence focusing on actual computational capability demonstration.\n\nThird, cross-chain bridges and interoperability protocols create new attack vectors. As users move assets between chains, sophisticated multi-step rugpulls can exploit protocol vulnerabilities while obscuring fund flows. Security practices must evolve to address multi-chain risk assessment.\n\nThe fundamental tension between decentralization's permissionless nature and investor protection remains unresolved. While regulatory clarity would help, the global nature of cryptocurrency complicates enforcement. The most realistic path forward involves community education, improved security tools, and responsible project creation standards.\n\n= Summary =\nRugpulls represent one of cryptocurrency's most persistent challenges, having extracted billions from unsuspecting investors. These scams exploit blockchain's fundamental features\u2014pseudonymity, permissionless deployment, and limited regulatory oversight. Understanding rugpull mechanics, detection methods, and prevention strategies has become essential for any crypto market participant.\n\nThe 2026 landscape presents both heightened risks and improved defenses. AI-powered security tools offer enhanced detection capabilities, while the broader market matures with better practices. However, AI also empowers scammers, creating an ongoing technological arms race. Success requires combining automated tools with human judgment, maintaining skepticism toward unrealistic promises, and verifying all claims through on-chain data.\n\nProtecting yourself from rugpulls demands systematic due diligence: contract verification, liquidity confirmation, team research, and community assessment. No single measure provides complete protection, but layered verification dramatically reduces risk. As the AI + decentralized computing paradigm continues evolving, staying informed about emerging threats and detection methods remains your strongest defense.\n\nRemember: if an investment seems too good to be true, it almost certainly is. The cryptocurrency market offers genuine innovation and opportunity, but navigating it safely requires vigilance, education, and conservative risk management. Your security ultimately depends on your commitment to verification before investment.\n\n= \u5e38\u89c1\u95ee\u9898 =\n\n1. **rugpull\u4e3a\u4ec0\u4e48\u6700\u8fd1\u7a81\u7136\u706b\u4e86\uff1f\u662f\u7092\u4f5c\u8fd8\u662f\u6709\u771f\u5b9e\u8fdb\u5c55\uff1f**\n\n\u5982\u679c\u53ea\u770b\u4ef7\u683c\uff0c\u5f88\u5bb9\u6613\u8bef\u4ee5\u4e3a\u662f\u7092\u4f5c\uff0c\u4f46\u53ef\u4ee5\u4ece\u51e0\u4e2a\u6570\u636e\u53bb\u9a8c\u8bc1\uff1a1\uff09\u641c\u7d22\u70ed\u5ea6\uff08Google Trends\uff09\u662f\u5426\u540c\u6b65\u4e0a\u6da8\uff1b2\uff09\u94fe\u4e0a\u6570\u636e\uff0c\u6bd4\u5982\u6301\u5e01\u5730\u5740\u6570\u6709\u6ca1\u6709\u660e\u663e\u589e\u957f\uff1b3\uff09\u4ea4\u6613\u6240\u662f\u5426\u65b0\u589e\u4e0a\u7ebf\u6216\u589e\u52a0\u4ea4\u6613\u5bf9\u3002\u4ee5\u4e4b\u524d\u67d0\u4e9bAI\u7c7b\u9879\u76ee\u4e3a\u4f8b\uff0c\u5b83\u4eec\u5728\u7206\u53d1\u524d\uff0cGitHub\u63d0\u4ea4\u9891\u7387\u548c\u793e\u533a\u6d3b\u8dc3\u5ea6\u662f\u540c\u6b65\u63d0\u5347\u7684\uff0c\u800c\u4e0d\u662f\u53ea\u6da8\u4ef7\u6ca1\u52a8\u9759\u3002\u5982\u679crugpull\u540c\u65f6\u51fa\u73b0\u201c\u4ef7\u683c\u4e0a\u6da8 + \u7528\u6237\u589e\u957f + \u4ea7\u54c1\u66f4\u65b0\u201d\uff0c\u90a3\u5927\u6982\u7387\u4e0d\u662f\u7eaf\u7092\u4f5c\uff0c\u800c\u662f\u9636\u6bb5\u6027\u88ab\u5e02\u573a\u5173\u6ce8\u3002\n\n2. **rugpull\u73b0\u5728\u8fd9\u4e2a\u4ef7\u683c\u8fd8\u80fd\u4e70\u5417\uff1f\u600e\u4e48\u5224\u65ad\u662f\u4e0d\u662f\u9ad8\u4f4d\uff1f**\n\n\u53ef\u4ee5\u7528\u4e00\u4e2a\u6bd4\u8f83\u5b9e\u7528\u7684\u5224\u65ad\u65b9\u6cd5\uff1a\u770b\u201c\u6da8\u5e45 + \u6210\u4ea4\u91cf + \u65b0\u7528\u6237\u201d\u3002\u5982\u679crugpull\u5728\u77ed\u65f6\u95f4\u5185\u5df2\u7ecf\u4e0a\u6da8\u8d85\u8fc7\u4e00\u500d\uff0c\u540c\u65f6\u6210\u4ea4\u91cf\u5f00\u59cb\u4e0b\u964d\uff0c\u8fd9\u901a\u5e38\u662f\u98ce\u9669\u4fe1\u53f7\uff1b\u4f46\u5982\u679c\u662f\u653e\u91cf\u4e0a\u6da8\u4e14\u65b0\u589e\u5730\u5740\u6301\u7eed\u589e\u52a0\uff0c\u8bf4\u660e\u8fd8\u6709\u8d44\u91d1\u5728\u8fdb\u5165\u3002\u53e6\u5916\u53ef\u4ee5\u770b\u5386\u53f2\u8d70\u52bf\u2014\u2014\u5f88\u591a\u9879\u76ee\u5728\u7b2c\u4e00\u6b21\u5927\u6da8\u540e\u90fd\u4f1a\u670930%~60%\u7684\u56de\u8c03\uff0c\u518d\u8fdb\u5165\u9707\u8361\u9636\u6bb5\u3002\u5982\u679c\u4f60\u662f\u65b0\u624b\uff0c\u5efa\u8bae\u4e0d\u8981\u4e00\u6b21\u6027\u4e70\u5165\uff0c\u53ef\u4ee5\u52063-5\u6b21\u5efa\u4ed3\uff0c\u907f\u514d\u4e70\u5728\u5c40\u90e8\u9ad8\u70b9\u3002\n\n3. **rugpull\u6709\u6ca1\u6709\u7c7b\u4f3c\u7684\u9879\u76ee\u53ef\u4ee5\u53c2\u8003\uff1f\u6700\u540e\u7ed3\u679c\u600e\u4e48\u6837\uff1f**\n\n\u53ef\u4ee5\u53c2\u8003\u8fc7\u53bb\u4e24\u7c7b\u9879\u76ee\uff1a\u4e00\u7c7b\u662f\u201c\u6709\u5b9e\u9645\u4ea7\u54c1\u652f\u6491\u201d\u7684\uff0c\u6bd4\u5982\u4e00\u4e9b\u505aAI\u7b97\u529b\u6216\u6570\u636e\u670d\u52a1\u7684\u9879\u76ee\uff0c\u5728\u70ed\u5ea6\u8fc7\u540e\u8fd8\u80fd\u7ef4\u6301\u4e00\u5b9a\u7528\u6237\uff1b\u53e6\u4e00\u7c7b\u662f\u201c\u7eaf\u53d9\u4e8b\u9a71\u52a8\u201d\u7684\uff0c\u6bd4\u5982\u53ea\u9760\u6982\u5ff5\u7092\u4f5c\u7684token\uff0c\u901a\u5e38\u5728\u4e00\u8f6e\u4e0a\u6da8\u540e\u4f1a\u5927\u5e45\u56de\u64a4\uff0c\u751a\u81f3\u5f52\u96f6\u3002\u4e00\u4e2a\u6bd4\u8f83\u5178\u578b\u7684\u73b0\u8c61\u662f\uff1a\u524d\u8005\u5728\u718a\u5e02\u8fd8\u6709\u5f00\u53d1\u548c\u7528\u6237\uff0c\u540e\u8005\u5728\u70ed\u5ea6\u8fc7\u53bb\u540e\u793e\u533a\u57fa\u672c\u6c89\u5bc2\u3002\u4f60\u53ef\u4ee5\u5bf9\u6bd4rugpull\u5f53\u524d\u7684\u6d3b\u8dc3\u5ea6\uff08\u793e\u533a\u3001\u5f00\u53d1\u3001\u5408\u4f5c\uff09\u6765\u5224\u65ad\u5b83\u66f4\u63a5\u8fd1\u54ea\u4e00\u7c7b\u3002\n\n4. **\u600e\u4e48\u770brugpull\u662f\u4e0d\u662f\u9760\u8c31\u9879\u76ee\uff0c\u800c\u4e0d\u662f\u5272\u97ed\u83dc\uff1f**\n\n\u6709\u51e0\u4e2a\u6bd4\u8f83\u201c\u63a5\u5730\u6c14\u201d\u7684\u5224\u65ad\u65b9\u6cd5\uff1a1\uff09\u770b\u56e2\u961f\u662f\u5426\u516c\u5f00\uff0c\u662f\u5426\u6709\u8fc7\u5f80\u9879\u76ee\u7ecf\u9a8c\uff1b2\uff09\u770b\u4ee3\u5e01\u5206\u914d\uff0c\u5982\u679c\u56e2\u961f\u548c\u673a\u6784\u5360\u6bd4\u8fc7\u9ad8\uff08\u6bd4\u5982\u8d85\u8fc750%\uff09\uff0c\u540e\u671f\u629b\u538b\u4f1a\u5f88\u5927\uff1b3\uff09\u770b\u662f\u5426\u6709\u6301\u7eed\u66f4\u65b0\uff0c\u6bd4\u5982GitHub\u6709\u6ca1\u6709\u4ee3\u7801\u63d0\u4ea4\uff0c\u800c\u4e0d\u662f\u51e0\u4e2a\u6708\u6ca1\u52a8\u9759\uff1b4\uff09\u770b\u662f\u5426\u6709\u771f\u5b9e\u4f7f\u7528\u573a\u666f\uff0c\u6bd4\u5982\u6709\u6ca1\u6709\u7528\u6237\u5728\u7528\uff0c\u800c\u4e0d\u662f\u53ea\u6709\u4ef7\u683c\u6ce2\u52a8\u3002\u5f88\u591a\u4eba\u53ea\u770bKOL\u63a8\u8350\uff0c\u4f46\u771f\u6b63\u6709\u7528\u7684\u662f\u8fd9\u4e9b\u5e95\u5c42\u6570\u636e\u3002\n\n5. **rugpull\u672a\u6765\u6709\u6ca1\u6709\u53ef\u80fd\u6da8\u5f88\u591a\uff1f\u7a7a\u95f4\u5230\u5e95\u770b\u4ec0\u4e48\uff1f**\n\n\u4e0d\u8981\u53ea\u770b\u201c\u80fd\u6da8\u591a\u5c11\u500d\u201d\uff0c\u66f4\u5e94\u8be5\u770b\u4e09\u4e2a\u6838\u5fc3\u6307\u6807\uff1a\u7b2c\u4e00\u662f\u8d5b\u9053\u7a7a\u95f4\uff0c\u6bd4\u5982AI+\u533a\u5757\u94fe\u76ee\u524d\u4ecd\u7136\u662f\u8d44\u91d1\u5173\u6ce8\u7684\u65b9\u5411\uff1b\u7b2c\u4e8c\u662f\u9879\u76ee\u6267\u884c\u529b\uff0c\u6bd4\u5982\u662f\u5426\u6309\u8def\u7ebf\u56fe\u6301\u7eed\u63a8\u8fdb\uff1b\u7b2c\u4e09\u662f\u8d44\u91d1\u8ba4\u53ef\u5ea6\uff0c\u6bd4\u5982\u6709\u6ca1\u6709\u6301\u7eed\u7684\u4ea4\u6613\u91cf\u548c\u65b0\u589e\u7528\u6237\u3002\u5386\u53f2\u4e0a\u80fd\u957f\u671f\u4e0a\u6da8\u7684\u9879\u76ee\uff0c\u57fa\u672c\u90fd\u540c\u65f6\u6ee1\u8db3\u8fd9\u4e09\u70b9\uff0c\u800c\u4e0d\u662f\u5355\u7eaf\u9760\u70ed\u70b9\u3002\u5982\u679crugpull\u540e\u7eed\u6ca1\u6709\u65b0\u8fdb\u5c55\uff0c\u53ea\u9760\u60c5\u7eea\u63a8\u52a8\uff0c\u90a3\u4e0a\u6da8\u7a7a\u95f4\u901a\u5e38\u662f\u6709\u9650\u7684\u3002\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>= 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