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etherscam

v1.0.9

Published

AI-powered smart contract vulnerability analyzer using multi-model detection

Vulnerabilities

Powered byPowered by Snyk
  • 0High
  • 0Medium
  • 0Low

Links

Git

Maintainers

micevemiceve

Keywords

ethereumsoliditysmart-contractssecurityvulnerabilityauditblockchainweb3defi

Readme

etherscam

AI-powered smart contract vulnerability analyzer using multi-model detection.

Features

  • Multi-model analysis pipeline (Gemini, Mimo, Devstral, Grok)
  • Web research for external protocol dependencies (Uniswap, Aave, Chainlink, etc.)
  • MEV threat modeling (frontrunning, sandwich attacks, multi-block MEV)
  • Economic and game-theory vulnerability detection
  • Post-deployment remediation strategies
  • Secure API key storage via system keychain

Requirements

Installation

bun install -g etherscam

Or clone and link locally:

git clone https://github.com/angrymouse/etherscam
cd etherscam
bun install
bun link

Setup

Configure your API key (stored securely in system keychain):

etherscam --setup

Usage

etherscam <contracts-folder>

Options:

  • -v, --verbose - Show detailed analysis including codebase overview
  • -s, --setup - Reconfigure API key
  • -h, --help - Show help

Example:

etherscam ./contracts -v

How It Works

  1. Phase 1: Flow Extraction - Identifies contract entrypoints and user interaction flows
  2. Phase 2: Codebase Overview - Generates technical overview via model chain (devstral → mimo → gemini)
  3. Phase 3: Multi-Model Detection - Four models analyze each flow for vulnerabilities with web research capability
  4. Phase 4: Report Generation - Gemini Pro synthesizes findings into a structured security report

Output

Generates REPORT.md in the target folder containing:

  • Executive summary
  • Confirmed vulnerabilities with file:line locations
  • Economic and logic issues
  • Other potential issues (possible false positives)
  • Recommendations
  • Post-deployment remediation (admin actions, whitehat rescue, guardian bots, migration plans)

License

MIT