The Web3 Security Resources Hub is a comprehensive collection of curated tools, guides, and best practices for securing decentralized systems and smart contracts in the blockchain space.

A deep technical article exploring how AI, feature engineering, and static smart-contract analysis uncover rugpull risks before humans detect them. Covers Solidity pattern mining, mint abuse detection, blacklist/fee manipulation signals, ML-inspired scoring models, and how to quantify ERC-20 token scam probability.

A hybrid Solidity + Python security toolkit that analyzes ERC-20 token contracts using static pattern extraction and ML-inspired scoring. Detects mint backdoors, blacklist controls, fee manipulation, trading locks, and rugpull mechanics. Outputs interpretable risk scores, labels, and structured features for deeper analysis.

A complete Web3 security toolkit combining AI-powered token auditing, ML-based deployer reputation scoring, and live Etherscan V2 data. Includes static analysis for rugpull detection, RandomForest reputation modeling, contract-fetching automation, and Solidity on-chain registries for transparent, reproducible security insights.

AI-powered real-time smart contract scanner that connects Machine Learning with Etherscan V2 to analyze newly deployed contracts instantly. Fetches verified Solidity code, performs static risk analysis, computes ML-driven deployer trust scores, and generates full security intelligence pipelines for Web3 threat detection.

A deep technical exploration of how malicious smart-contract developers weaponize fee logic in ERC-20 tokens. Covers dynamic tax flipping, hidden sell traps, fee obfuscation, whitelist-based bypasses, liquidity-drain funnels, attack timelines, forensic analysis, mathematical modeling, and ML-powered detection strategies for tax abuse.

A research-grade framework for extracting, classifying, and analyzing the “genetic” behavior of smart contract tokens. Identifies economic traits, supply mutations, fee patterns, permission risks, upgradeability vectors, and scam species using a structured gene taxonomy with risk scoring, HTML reports, and token comparison tools.

Cross-Contract Reentrancy PoC, a Foundry-based Solidity demo exploiting timing mismatch in DeFi Vault and ICOGov mint flow. Inspired by Inspex.

An interactive and educational platform designed to help users navigate and engage with Decentralized Finance (DeFi).

🛡️ Analyze risks in pump.fun tokens to detect malicious activities, enabling users to make informed decisions in a safer DeFi environment.

A comprehensive smart contract fuzz-testing tool with AI-assisted analysis. Combines Go-based security analysis with Claude AI for signature extraction and vulnerability detection.

A decentralized lending platform built on the Stacks blockchain that enables users to deposit Bitcoin as collateral and borrow against it. The protocol implements automated liquidations, dynamic interest rates, and protocol-level security measures.

🛡️ Pump.fun Risk Analyzer | DeFi Security & Rug-Pull Detection | Real-time Token Analysis | Solana Blockchain

Real-time blockchain fraud detection using autonomous multi-agent AI swarms. Detect fraud in <2s with 150x faster vector search (HNSW), 84.8% accuracy, and 73% cost reduction. Features ERC-1155 trust scores, MCP integration, and reflexion learning.