Tutorials

Tutorials

Tutorials

Tutorials

07:29

Mar 15, 2025

Comprehensive Audit Scans Performed by AUDIT AI

AUDIT AI runs an extensive array of security checks and forensic analysis on blockchain transactions, smart contracts, and wallet interactions to detect potential exploits, fraud, and vulnerabilities. Below is a structured list of everything we scan for:

Fraud & Rug Pull Detection

  • Updating and cross-referencing developer wallet lists.

  • Checking Solscan, Etherscan, Basescan, Polygonscan, Bscscan for rugging activity.

  • Compiling a database of known rugpull wallets.

  • Detecting abnormal liquidity withdrawals from newly launched projects.

  • Scanning for sudden developer wallet sell-offs post-launch.

  • Tracking developer wallet movements for potential exit scams.

  • Verifying LP token lock durations to prevent liquidity theft.

  • Identifying token unlock events that may indicate planned rug pulls.

  • Monitoring for stealth token mints or silent inflation exploits.

Smart Contract Auditing & Exploit Detection

  • Scanning newly deployed Solana, Ethereum, Binance Smart Chain, Polygon, Base contracts for vulnerabilities.

  • Checking contract ownership renouncement status to detect centralized control risks.

  • Running static analysis for smart contract backdoors or honeypot indicators.

  • Identifying duplicate contract patterns, indicating scam copy-paste schemes.

  • Monitoring sudden contract self-destruct events that erase transaction history.

  • Checking for malicious proxy contracts used for fraudulent upgrades.

  • Detecting unauthorized contract upgrades to inject hidden exploit functions.

  • Tracking developer contract interactions pre/post exploit events.

  • Scanning cross-chain bridges for exploit patterns.

  • Inspecting multi-chain transactions for laundering tactics.

Blockchain Surveillance & Real-Time Threat Monitoring

  • Fetching latest block data from Solscan, Etherscan, Basescan, Polygonscan, Bscscan.

  • Analyzing transaction patterns for irregular behaviors.

  • Running ML-based anomaly detection for suspicious activity.

  • Monitoring high-risk wallets for potential phishing, laundering, or exploit behavior.

  • Tracking movements of stolen funds to flag laundering attempts.

  • Running predictive analytics on flagged wallets for future exploit risks.

  • Watching for MEV bot activity on Ethereum and other chains.

  • Fetching and analyzing whale wallet snapshots to detect pump-and-dump behavior.

  • Detecting rapid wallet rotations in staking pools, a common indicator of exploits.

DeFi & Liquidity Analysis

  • Inspecting liquidity withdrawals from Uniswap, PancakeSwap, QuickSwap.

  • Analyzing DeFi protocol interactions for potential exploits.

  • Scanning for sudden token ownership transfers from deployer wallets.

  • Checking staking reward distributions for anomalies.

  • Tracking governance attacks in DAOs (Decentralized Autonomous Organizations).

  • Investigating staking contract manipulations that may result in unfair rewards.

  • Checking for expired or revoked contract permissions that weaken security.

  • Monitoring DAO treasuries for unauthorized withdrawals.

Cross-Chain & Exchange Surveillance

  • Fetching mempool data for pending transactions.

  • Verifying node synchronization status for chain integrity.

  • Tracking interactions with mixer services like Tornado Cash.

  • Monitoring CEX (centralized exchange) deposit addresses for suspicious inflows.

  • Checking CEX wallet interactions with previously flagged addresses.

  • Investigating multi-chain bridge transfers for fraud patterns.

Tokenomics & Economic Manipulation Detection

  • Comparing new tokenomics models to assess exploit risks.

  • Analyzing trading volume spikes to detect fake volume wash trading.

  • Monitoring liquidity migration strategies for suspicious behavior.

  • Checking governance token transfers pre-proposal for manipulation attempts.

  • Watching for abnormal staking withdrawal statistics.

NFT & Digital Asset Auditing

  • Analyzing NFT marketplace activity for wash trading.

  • Checking NFT metadata integrity for manipulated or duplicated assets.

  • Investigating anomalies in NFT minting contracts that may allow unauthorized creations.

  • Tracking large-scale NFT transfers for possible hacks.

Cybersecurity & AI-Driven Threat Detection

  • Scraping social media platforms (Twitter, Discord) for mentions of flagged contracts.

  • Checking if deployer wallets interact with Tornado Cash (known laundering service).

  • Identifying sleeper contracts awaiting activation, often used in delayed exploit schemes.

  • Fetching latest reports on blockchain security incidents from external sources.

  • Monitoring darknet marketplaces for blockchain-related threats.

  • Running AI-driven risk assessment on new smart contracts before public launch.

Threat Intelligence & Final Reporting

  • Notifying network participants (exchanges, developers, traders) of high-risk tokens.

  • Generating audit reports with risk scores and recommended mitigations.

  • Correlating exploit data with blockchain forensic databases.

  • Extracting audit reports for top deployed contracts to compare with past findings.