web3 threat intel scanner

The problem

Web3 security analysts and SOC teams struggle to track rapidly evolving exploits like EIP-2612 permit abuse or Multicall-hidden drains in real-time. Manual research across fragmented feeds is slow, and generic LLMs often hallucinate specific transaction hashes or financial impact figures during active incidents.

What it does

• Scans high-signal security sources and official APIs for current Web3 exploit data.
• Structures incident metadata including chain, vector, and verified financial impact ranges.
• Extracts technical fingerprints for mechanisms like Multicall3-wrapped unauthorized approvals.
• Generates high-signal defensive detection heuristics and pseudocode for monitoring tools.
• Cross-references conflicting reports to provide accurate risk levels and confidence ratings.

Frameworks & tools

Web3 protocols (Ethereum, L2s), EIP-2612 (Permit), Multicall3, ERC-20 standards, and security research APIs.

Why this beats prompting it yourself

This skill enforces a strict anti-fabrication protocol that prevents the agent from hallucinating protocol names or addresses when data is missing. It is specifically tuned to handle adversarial text in scraped security bulletins and correctly identifies the technical nuances of transaction calldata that general-purpose prompts miss.

Use cases

• Generating a daily threat intelligence brief for a DeFi protocol security team.
• Analyzing a suspicious transaction signature for hidden approval logic.
• Researching the current landscape of phishing patterns across a specific ecosystem.
• Validating emerging exploit claims before updating protocol guardrails.

Known limitations

Requires an active web-search or fetch tool to provide real-time data. It performs one-time research passes and does not provide continuous, unattended monitoring of feeds.