Smart Contract Security: Finding DeFi Vulnerabilities
Smart Contract Security: Finding DeFi Vulnerabilities is a comprehensive technical guide to understanding, identifying, and mitigating security vulnerabilities in Ethereum smart contracts and decentralized finance protocols.
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About the Book
Smart Contract Security: Finding DeFi Vulnerabilities is a comprehensive technical guide to understanding, identifying, and mitigating security vulnerabilities in Ethereum smart contracts and decentralized finance protocols.
The title begins with the foundations of EVM architecture, Solidity execution, storage layout, threat modeling, and access control before progressing into the most important vulnerability classes encountered in modern smart contracts. Topics include reentrancy, read-only reentrancy, arithmetic and precision issues, denial-of-service patterns, unchecked calls, transaction-ordering dependencies, MEV, and integration risks.
The book then moves into the security challenges specific to DeFi, covering automated market makers, oracle manipulation, flash loans, lending protocols, yield aggregators, liquid staking, governance systems, cross-chain bridges, and upgradeable contract architectures. Advanced topics such as proxy patterns, diamond contracts, ERC-4626 vaults, EIP-712 signatures, and emerging attack surfaces are also explored.
A major focus is placed on practical security analysis. Readers are introduced to professional tools and methodologies including Slither, Semgrep, Echidna, Foundry, symbolic execution, property-based testing, invariant testing, and formal verification with Certora. Mainnet forking and advanced testing techniques demonstrate how vulnerabilities can be investigated in realistic environments.
The title also examines several significant real-world incidents, including the DAO hack, Euler Finance, Curve/Vyper, Mango Markets, and the Ronin Bridge, providing technical post-mortems focused on the mechanisms behind the failures and the security lessons they reveal.
The final chapters cover professional smart contract auditing, security reporting, continuous integration, automated security pipelines, protocol solvency and economic stress testing, incident response, circuit breakers, responsible disclosure, bug bounties, and whitehat operations.
Designed for Solidity developers, smart contract auditors, Web3 security researchers, DeFi engineers, and technically minded blockchain professionals, this title provides a structured path from fundamental smart contract security concepts to advanced DeFi vulnerability analysis and professional security practices.
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About the Author
I’m an independent AI systems developer, programmer, and technical researcher focused on the engineering behind modern computing systems.
My work spans artificial intelligence, machine learning, GPU computing, CUDA, quantum computing, automation, operating systems, cybersecurity, developer tooling, and high-performance software. I’m particularly interested in what happens beneath the abstractions: how systems actually execute, communicate, scale, fail, and can be engineered more efficiently.
I build and investigate practical systems rather than focusing exclusively on theory. This includes working with Python, C/C++, CUDA, Linux, AI infrastructure, local and distributed AI systems, GPU acceleration, quantum programming, automation frameworks, system administration, and security research.
My technical publishing is an extension of that work. I use Leanpub to document engineering knowledge, experiments, architectures, implementation techniques, and research-oriented material that can be useful to developers, engineers, researchers, and technically advanced readers.
I’m especially interested in emerging technologies where multiple disciplines meet — AI and systems engineering, GPU computing and machine learning, quantum computing and software development, automation and infrastructure, and cybersecurity and system architecture.
The goal is not simply to explain how a technology works, but to understand how to build with it, work around its limitations, examine its internals, and turn complex concepts into working systems.
I continuously develop, test, document, and refine these ideas through practical projects and technical research. My publications reflect that process: detailed engineering references created for people who want to go beyond the surface level and understand the technology they are working with.
https://businessofmachines.blogspot.com/
https://learn.microsoft.com/en-us/users/machinadeusex/
https://g.dev/machinadeusex
https://github.com/porucznikswext-source
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