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.

Structured skills for smart contract security audits. Infers state invariants, detects semantic guard gaps, models flash loan + oracle attack chains, simulates adversarial exploits, and scores findings.

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.

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.

Security-first Python scanner that checks new Pump.fun tokens for non-renounced mint authority, active freeze authority, unlocked liquidity, and dev concentration before trade execution.

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.

Open vendor-neutral taxonomy of on-chain adversary tactics and techniques across token launches, smart-contract exploits, bridges, custody, laundering - with mitigations, software, threat actors, and worked examples.

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.

Free honeypot token scanner for Ethereum, Polygon & Arbitrum. Detect scam tokens before you buy. Instant analysis of smart contracts using 13 specialized patterns. No API keys, no limits, 100% free. Built with Next.js 16 & Cloudflare Workers.

Proactive DeFi sentinel for OpenClaw. Monitors TVL drops, protocol hacks, and capital flows via DeFiLlama with intelligent risk-chaining and automated alerts.

AI agent safety layer for crypto transactions - blocks honeypots, blacklists, and rug pulls before they happen

Security proxy for AI agents (OpenClaw, LangChain, CrewAI). Protects API keys, enforces spend limits, blocks dangerous endpoints. Local-first Rust binary — your credentials never leave your machine.

Arkheionx Vault: independent DeFi exploit PoC archive focused on reproducibility, assertion quality, and root-cause analysis.

Open-source real-time monitor for Solana multisigs and DAOs. Detects the attack chain used to drain $285M from Drift on April 1, 2026.

Web3 Security Case Studies & Tools | Reproducing DeFi Hacks, CTFs, and Audit Guides with MCU, Anime & Gaming Storytelling

Pre-transaction token risk oracle for autonomous on-chain agents

Smart Contract Security Audit Portfolio – DeFi protocol reviews, exploit simulations, and Foundry-based testing labs.