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A comprehensive guide detailing security patterns and audit checklists for Automated Market Maker (AMM) smart contracts in DeFi. Covers critical vulnerabilities such as flash loans, slippage, reentrancy attacks, price manipulation, and integer overflow/underflow. Essential for reviewing major DeFi protocols like Uniswap.

This comprehensive, zero-trust security auditor scans third-party AI agent skills before installation. It performs a rigorous 6-phase review process, analyzing surface patterns, script integrity, permissions, and supply chain risks. It is designed to detect malicious payloads, credential theft, instruction overrides, and prompt injection attacks, ensuring secure AI development and deployment.

A workflow for capturing PMKID or four-way handshakes from WPA/WPA2-Personal networks, converting captures to hashcat format, and cracking passwords with dictionaries, masks, and vendor default-key patterns.

A comprehensive playbook detailing advanced exploitation techniques in decentralized finance (DeFi). Covers flash loan mechanics, price oracle manipulation (spot vs. TWAP), MEV extraction strategies (Sandwich, JIT), governance exploits, and core smart contract vulnerabilities. Essential for security auditors and risk analysts.

An expert playbook for systematically testing Insecure Direct Object References (IDOR) and Broken Object/Function Level Authorization (BOLA/BFLA). This guide covers finding object identifiers across all request vectors (URL, body, headers, cookies), implementing A-B testing methodologies, identifying various ID patterns, and executing horizontal or vertical privilege escalation attacks. Essential for deep API security auditing.

A comprehensive playbook covering advanced smart contract audit techniques for Solidity/EVM. Focuses on critical patterns like reentrancy (cross-contract), integer overflows, access control misuse, delegatecall exploits, flash loans, and advanced MEV/front-running attacks. Essential for securing DeFi protocols.

This skill provides methods and frameworks to detect sophisticated AI attacks, including model stealing, membership inference, and model inversion. It focuses on monitoring query patterns, analyzing confidence exposure, and implementing defensive controls on inference APIs to protect intellectual property and data privacy.

A comprehensive guide detailing security patterns and audit checklists for Automated Market Maker (AMM) smart contracts in DeFi. Covers critical vulnerabilities such as flash loans, slippage, reentrancy attacks, price manipulation, and integer overflow/underflow. Essential for reviewing major DeFi protocols like Uniswap.