DIY Security Assessment & Protection Guide for Web3, Crypto, and Digital Assets
$5.7 billion in crypto lost across all of 2025. Phishing attacks account for 31% of all scams, AI-powered deepfake attacks have tripled, and malicious NFTs increased by 92%. This tool will help you protect yourself.
Total crypto crime losses in 2025
Rise in AI-powered deepfake attacks since 2024
Of 2025 crypto crime was phishing-based
Increase in malicious NFT campaigns (2024→2025)
Hardware wallets store your private keys offline on a physical device, making them significantly less vulnerable to hacks and cyber-attacks. They are recommended for long-term storage and larger amounts of cryptocurrency.
Threat Level: CRITICAL - Deepfake-based scams tripled from 2024 to 2025, with AI voice cloning now accessible for under $10 — attacks continue accelerating into 2026.
Threat Level: CRITICAL - Phishing caused over $1.6 billion in losses in 2024-2025.
Threat Level: CRITICAL - Crypto drainer malware specifically targets MetaMask and other browser wallets.
Threat Level: HIGH - Reports surged in early 2025 of romance scams pivoting to crypto phishing.
Threat Level: HIGH - Average rug pull now steals $300,000, with elaborate marketing campaigns using AI.
Threat Level: CRITICAL - Clipboard-hijacking malware and address poisoning attacks surged 340% in 2025.
$2.17 billion stolen in 2025 (full year) from smart contract exploits. Top vulnerabilities: Access Control ($953.2M), Logic Errors ($63.8M), Reentrancy ($35.7M), Flash Loan Attacks ($33.8M). Cross-chain bridge exploits emerged as a top-5 vector in late 2025.
What it is: Improper restrictions on who can call sensitive contract functions.
Examples: Missing owner checks, public functions that should be private, privilege escalation
Prevention:
What it is: Flaws in business logic or mathematical operations.
Examples: Integer overflow/underflow, incorrect calculations, flawed conditional logic
Prevention:
What it is: Malicious contract calls back into your contract before first execution finishes.
Examples: The infamous DAO hack, functions that transfer ETH before updating state
Prevention:
What it is: Attackers borrow massive amounts without collateral to manipulate prices or exploit logic.
Examples: Oracle manipulation, price manipulation, economic exploits
Prevention:
What it is: Bridge contracts that lock assets on one chain and mint equivalents on another are high-value targets — a single exploit can drain both sides.
Examples: Ronin Bridge ($625M), Wormhole ($320M), Nomad ($190M) — bridge hacks represent some of the largest losses in DeFi history
Prevention (for users):
What it is: Failing to validate user inputs or external data.
Examples: Missing zero-address checks, unbounded loops, invalid parameter ranges
Prevention:
Automated security analysis detecting ~92% of known vulnerabilities in test environments.
Static analysis framework that runs in seconds and finds vulnerabilities with high precision.
Fuzzing tool for Ethereum smart contracts to find edge cases and vulnerabilities.
Symbolic execution tool for analyzing smart contracts and binary programs.
DeFi protocols are complex and carry significant risks. Even audited protocols can have vulnerabilities. Never invest more than you can afford to lose.
Attackers manipulate price feeds to exploit lending protocols or AMMs.
~20% of DeFi protocols impacted. Attackers see your pending transaction and submit higher gas to execute first.
In lending protocols, price drops can trigger mass liquidations.
Not a hack, but a significant risk when providing liquidity to AMMs.
Attackers accumulate governance tokens to pass malicious proposals that redirect protocol funds.
Track TVL, yields, and protocol metrics across all chains.
View and revoke token approvals to protect against malicious contracts.
Independent security ratings for DeFi protocols.
Decentralized insurance for smart contract failures.
Malicious NFT campaigns increased 92% in 2024–2025. Wallet-drainer kits are now sold as a service on darknet markets for as little as $100/month, enabling unsophisticated actors to launch professional-grade NFT phishing attacks. Always treat unsolicited NFTs as hostile.
Threat Level: CRITICAL
Threat Level: CRITICAL
Threat Level: HIGH
Threat Level: HIGH - Average rug pull: $300K with AI-generated marketing
Threat Level: MEDIUM
Browser extension that warns you about malicious NFT transactions and sites.
Rainbow, Zerion - help manage and hide spam NFTs safely.
Essential for revoking NFT marketplace approvals you're not using.
Verify smart contract source code and deployment date before minting.
Complete this comprehensive assessment to evaluate your current security posture. Your progress is automatically tracked.
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