CryptoScam

Project Audit Analysis

Insira o contrato e, opcionalmente, defina o nome e ticker do projeto para garantir a identificação correta.

CryptoScam Forensic Methodology and On-Chain Technology

How we combine real-time contract scanning, dynamic virtual machine execution simulations, and artificial intelligence to detect financial fraud in Web3.

The 4 Pillars of Forensic Audit

Code Security and Governance

Open source verification, mint privileges detection, and Safe Multisig/Proxy inspection.

On-Chain Trading Metrics

Real buy vs sell ratios, wash trading identification, and slippage impact analysis.

Liquidity and Pool Health

Real USD liquidity vs FDV ratio, LP lock tracking, and pair age consistency.

Tokenomics Sustainability

Business model analysis, Ponzi scheme detection, and affiliate plan risk assessment.

Understand the Pillars

Click on the audio below to understand how the 4 pillars of our Forensic Audit work.

Detailed presentation of the CryptoScam Forensic Methodology

Recent Audits

Tools and Infrastructure

Static Scan

GoPlus Security API

Static scanner for permissions and malicious functions.

Dynamic Simulation

Honeypot.is API

Dynamic EVM simulation for trade locks.

Market Data

DexScreener API

Real-time liquidity, volume, and FDV metrics.

Explorer API

BscScan API

Source code authenticity and integrity validation.

RPC Node

Direct RPC Reader

EIP-1967 memory scanning for Proxy resolution.

Governance

Safe Transaction API

Multisig quorum and timelock auditing.

AI Engine

AI Forensic Engine

Neural processing of on-chain evidence for Risk Scoring.

Operational Flow

Data Input: Name, contract or proposal.

Multi-channel Scan: Parallel calls to RPC and APIs.

AI Cross-Reference: Sustainability and model analysis.

Report & Index: Verdict and public archiving.