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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.
Minimum price
$27.00
$27.00
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.
About the Author
I am an independent technology developer and systems engineer who built my technical path largely through self-directed engineering, experimentation, and continuous learning outside a traditional academic or corporate technology career.
My professional background began far from the technology industry. I spent years working in manufacturing, while independently developing my knowledge of software engineering, computer systems, and advanced computing. Over time, that self-directed work evolved into a broad technical practice spanning autonomous AI, cybersecurity, systems programming, GPU computing, automation, and advanced computational architectures.
Today, I design, build, and publish projects involving agentic AI, autonomous defense systems, SIEM/EDR integration, secure software architecture, C/C++, Go, Python, CUDA, quantum computing, cryptography, and privacy-oriented local AI infrastructure.
I approach technology from a systems perspective — from low-level software, memory architecture, and GPU performance to distributed systems, intelligent agents, and high-assurance security architectures.
I also explore aerospace and high-assurance software concepts, including safety-critical architectures, multi-level security, cross-domain solutions, and advanced computational systems.
Alongside active development, I publish long-form engineering projects covering AI, cybersecurity, cloud engineering, quantum computing, GPU programming, cryptography, automation, blockchain, and aerospace engineering.
My current focus is on autonomous software agents, privacy-first local infrastructure, advanced computing, and reliable systems designed to operate with a high degree of independence.
I am open to opportunities involving AI engineering, cybersecurity, software engineering, autonomous systems, HPC/GPU computing, and advanced technology development.
https://businessofmachines.blogspot.com/
https://learn.microsoft.com/en-us/users/machinadeusex/
https://github.com/porucznikswext-source
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