If you want to get into blockchain security, choosing what to study first can be surprisingly difficult. Solidity tutorials, exploit writeups and bug bounty programs assume different levels of knowledge. A useful starting point is learning to review Ethereum-compatible smart contracts. This guide explains a practical path from foundations to security work, including how AI changes the learning process.
What work in blockchain security involves
Blockchain security includes smart contracts, wallets, infrastructure and the applications connecting users to protocols. This guide focuses on the EVM smart contract route, which gives you a concrete language and execution environment to study. For the detailed auditor role, tools and career questions, see our smart contract auditor guide.
Smart contract auditing means investigating whether code can violate the system's intended rules. Can someone withdraw another user's deposit? Can an unexpected caller gain an administrative role? Can a price change make borrowing unsafe?
DeFi security also requires understanding the financial system the contracts implement. Code can behave exactly as written while relying on an unsafe assumption about collateral or liquidity. Expect to spend time reading documentation, tracing transactions and testing ideas that turn out to be wrong. That investigation is part of the work.
Why AI makes blockchain security an important field to enter
Attackers are already using AI to support their operations. Anthropic has documented malicious use across activities including reconnaissance and malware development. That evidence concerns cybersecurity broadly, rather than proving that every blockchain attack uses AI.
Smart contract security is part of this shift. OpenAI and Paradigm's EVMbench evaluates whether AI agents can detect, patch and exploit smart contract vulnerabilities. Its tasks demonstrate capabilities under defined conditions. They do not capture the full difficulty of reviewing a live protocol.
My view is that this makes learning security fundamentals alongside AI-assisted investigation a worthwhile direction. Teams need to evaluate candidate findings, test proposed fixes and understand risks that automated output may describe incorrectly.
AI can explain unfamiliar syntax, help interpret a failed test and draft test scaffolding. For an independent learner, those are useful ways to get unstuck. For a researcher, they can reduce some repetitive work. The result still needs verification against code and actual execution.
There are several possible services to develop as your skills grow: focused permission testing, validation of suspected findings, regression tests for fixes and security review automation. DeFi research adds work around prices, liquidation incentives and cross-protocol assumptions. These are directions to investigate, not evidence of guaranteed demand or beginner income.
For example, an access-control testing engagement should identify the contracts, roles and actions covered, then deliver tests and an explanation of the remaining limitations. A client can evaluate that scope more easily than a vague promise of an AI-powered audit.
Try reviewing a small contract yourself before asking a model to analyse it. Investigate disagreements and record useful suggestions as well as false positives. Never upload private code without permission. The SCH guide to AI-assisted smart contract auditing explains this workflow in more detail.
Choose a starting point that fits your background
If you already develop software, use your debugging and testing experience. Build a small Solidity contract and its tests while learning EVM execution. Pay attention to external calls, storage and transaction reverts.
If you come from Web2 security, bring your threat-modelling habits. Study how public onchain state, contract interactions and transaction execution change your assumptions. A familiar-looking permission issue can have different consequences when it controls assets directly.
If you are new to programming, start with functions, data structures and debugging. Give yourself time to write small programs before tackling complex exploit explanations. You should be able to read the code you are trying to break.
The SCH smart contract auditor roadmap assessment can help you choose what to study next. Use your current gaps to set the sequence, rather than copying someone else's timetable.
Learn Solidity by building and testing something small
Start with state variables, mappings, visibility, modifiers and external calls. Learn how transactions change state and how a revert affects an operation. You do not need to memorise every feature before beginning security practice.
A deposit-and-withdrawal contract is a useful first project. Test that a deposit credits the correct user, that a withdrawal reduces their balance and that another account cannot spend their funds. Also test failure: does a rejected operation leave the expected state intact?
Then change one assumption. What happens if a recipient is another contract? What happens if an administrator can change a destination? Which code trusts that administrator?
You are making progress when you can explain the caller, checks, state changes and external interactions in a transaction without relying on a walkthrough.
Study why vulnerabilities work
For each exploit you study, identify what the protocol expected, what the attacker controlled and which action broke the expectation. Explain the impact and the change that would prevent that failure.
Access control is a useful example. A protected withdrawal function still depends on how its privileged address is assigned. Follow every path that can change the address, including functions that appear unrelated to withdrawing.
The SCH access-control guide covers failures and defences in this area. After reading an example, close the explanation and describe the attack in your own words. If you cannot explain a required condition, return to the source before moving on.
Learn the DeFi mechanism behind the contracts
Choose one financial mechanism and work through an example with numbers. For lending, follow a deposit, a loan, a collateral price change and a liquidation. Track who holds each asset and who owes what.
For token deposits, ask whether the recorded credit matches the assets received. For an automated market maker, investigate which calculations depend on reserves or prices a trader can influence. For lending, ask when outstanding debt could exceed recoverable collateral.
An oracle review begins with the source of the price and the actions that depend on it. What happens if the value is stale or unavailable? The oracle manipulation guide provides further examples.
Flash loans can supply capital for an attack. Your investigation must still identify the pricing, accounting or permission failure that makes the attack possible. Learning the mechanism makes these questions much easier to ask.
Practise consistently and keep evidence of progress
Give yourself time to investigate before opening a solution. Read the contract, describe normal behaviour and make a specific guess about where it could fail. Test that guess. If you need a hint, use it, then attempt the exercise again later without the explanation.
Use SCH CTF Arena for smart contract hacking practice on deliberately vulnerable contracts. After each session, keep a short note recording your hypothesis, the result and the knowledge gap it exposed.
A manageable weekly routine could include one session studying a concept, two investigating a challenge, one comparing your reasoning with a published explanation and a short session updating your notes. Adjust the hours to your schedule.
As you move to larger codebases, use the smart contract audit checklist to organise questions and evidence. Record which code and tests support a conclusion. A checked box alone cannot establish safety.
Compare audit jobs, contests and Web3 bug bounties
Audit teams review scoped code and communicate results to clients. Protocol security roles can involve ongoing work on a system, including design decisions and contract changes. When evaluating an early role, ask how findings are reviewed and what feedback you can expect.
Competitive audits provide a defined codebase and submission process. Choose a scope you can meaningfully study. Read its documentation and trace the main user actions. After results are published, examine what you missed and whether the gap was language knowledge, protocol understanding or insufficient testing.
Bug bounties reward qualifying vulnerabilities under program-specific rules. Read the scope, eligible impacts, exclusions and disclosure process before investigating. A large headline reward says little about whether you understand the target well enough to review it.
Work locally and follow the program's testing restrictions. A possible weakness does not authorise actions that affect live funds or other users. Your first learning goal can be understanding one in-scope component and testing a specific assumption.
Keep income expectations separate from practice goals. Time spent hunting does not guarantee a rewarded finding. The SCH auditor salary benchmark discusses different compensation models. Employment, freelance engagements and bounty payouts should be considered separately.
Build a portfolio someone can evaluate
You can document useful work before having a client. Choose a small Solidity project with tests, an independently explained challenge, a historical exploit study in an isolated environment or a bounded personal review of open-source code.
For each project, state what you investigated, how to run the relevant code and what the evidence supports. Include enough setup information for someone else to follow your reasoning.
Label the work accurately. Practice projects, commissioned audits and accepted bounty reports are different kinds of evidence. Do not imply client experience you do not have. A small collection of clear, maintained examples gives a reviewer something concrete to discuss with you.
Turn your next month into a manageable experiment
Choose a small contract as your recurring study target. First implement its normal behaviour. Next test caller permissions and failed operations. Then study an explanation of a related vulnerability and investigate whether its assumptions apply. Finish by documenting what you tested and the questions still open. Adapt the pace to your starting knowledge. This is a sample study project, not a promise of employment within a month.
Choose how you want to learn
Independent study can combine documentation, public reports and challenges. You choose the sequence and take responsibility for noticing gaps. Structured training can help when you want a connected path through vulnerability mechanisms, DeFi risks and hands-on practice.
I'm JohnnyTime, founder and creator of Smart Contract Hacking. I created the SCH smart contract auditing course for learners who want that structured approach. It is the paid option alongside SCH's free learning and practice resources.
Before choosing any training, inspect its prerequisites and curriculum. Reserve time for exercises as well as lessons. For your next session, pick a task you can finish: write a contract test, investigate a challenge or trace one action in a DeFi protocol. End with the specific question you will investigate next.
