Messiah VS Diffyn

Messiah's answer

Messiah protects the exact moment a user gets deceived. Beyond domain blocklists, it:

• Intercepts every wallet signing request before it reaches your wallet
• Runs Fusion Analysis — cross-checking what a site claims to do against what you're actually signing, catching "Claim Airdrop" pages that really request unlimited token approvals
• Detects EIP-7702 malicious delegations, an emerging attack vector most scanners misclassify as safe

Diffyn's answer:

Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.

Messiah's answer

Most tools rely on blocklists or transaction simulation alone. Messiah combines both with AI content analysis:

• Site Scan — analyses the page before you connect
• Sign Analyze — simulates asset changes and explains the risk in plain language, in five languages
• Address Check — cross-references Etherscan, GoPlus, Chainabuse and Revoke.cash

We benchmarked it against 100 live scam sites (90% detection) and published the gaps we found — so you know exactly what it catches and what it doesn't.

Diffyn's answer:

Diffyn is the platform that specializes on both change management and multi-model analysis.

Messiah's answer

• Extension — TypeScript + React, built with Vite (CRXJS), Manifest V3
• Backend — Node.js + Express (TypeScript), PostgreSQL with Drizzle ORM, Zod validation
• AI — GPT-class LLM via a model-agnostic LiteLLM proxy (per-scan-type model routing)
• Simulation — Alchemy transaction simulation (asset-change preview before signing)
• Threat intelligence — MetaMask eth-phishing-detect, GoPlus, Chainabuse, Etherscan, Revoke.cash, VirusTotal

Diffyn's answer:

React, Next.js, POSTGRESQL

Messiah's answer

• Crypto users who interact with dApps — DeFi traders, NFT collectors, and first-time wallet users
• Institutions (exchanges, banks entering Web3) needing on-premise front-end phishing protection for their customers

Diffyn's answer:

Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.

Messiah's answer

Messiah was born from the $1.5B Bybit hack — the largest crypto theft in history, executed through a compromised front-end that made signers approve something they couldn't see.

At ETHGlobal Taipei 2025, our team built a proof-of-concept recreating that exact attack: a simulated wallet front-end with injected malicious logic, and an AI pipeline that analysed the front-end JavaScript to catch it. The project won the HashKey Chain Award (On-Chain Infrastructure Compliance Innovation) and the Celo L2 Pool Prize.

We then joined Cyberport's Web3 Pilot Scheme and spent months turning the PoC into a real product — benchmarking it against 100 live scam sites and publishing what it caught and what it missed — before launching on the Chrome Web Store.

Diffyn's answer:

I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.

Messiah's answer

• Individual Web3 users via the Chrome Web Store (recently launched)
• Early-access security researchers and DeFi power users