Web3 Auditor

Web3 Auditor

Overview

Cybersecurity skill for web3 auditor. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "web3 auditor"

• "Auditing smart contracts for bug bounty programs"

• "Testing DeFi protocols for economic exploits"

• "Hunting on Immunefi, HackenProof, Code4rena"

• Auditing smart contracts for bug bounty programs

• Testing DeFi protocols for economic exploits

• Hunting on Immunefi, HackenProof, Code4rena

• Reviewing token contracts for rug pull indicators

• Analyzing upgrade mechanisms and proxy patterns

When NOT to Use

• When you lack proper authorization for testing
• For production systems without change management
• When the task requires legal or compliance expertise beyond technical scope

Prerequisites

• Access to relevant log sources and security tools
• Understanding of auditor fundamentals
• Appropriate permissions for data access and tool operation

Workflow

# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}

1. Define Objectives — Clarify the goals and scope for auditor.
2. Gather Resources — Collect tools, data, and access needed for auditor.
3. Execute Process — Carry out auditor operations methodically.
4. Verify Quality — Check results against acceptance criteria.
5. Document Outcomes — Record findings, decisions, and next steps.

Tools

• Analysis Platform — Data processing and visualization
• Collaboration Tools — Team coordination and knowledge sharing

Process

1. Prepare — Gather requirements, verify prerequisites, set up environment
2. Execute — Run web3 auditor workflow with configured parameters
3. Verify — Validate output meets requirements, document results

Verification

• All auditor procedures executed completely and documented
• Findings validated against multiple data sources
• False positives identified and filtered
• Results documented with evidence and timestamps
• Recommendations provided with risk-based prioritization

Anti-Rationalization Table