Scam Sniffer

  • Name: Scam Sniffer
  • URL: https://www.scamsniffer.io/
  • Category: anti-scam feed / phishing-detection / signing-risk distribution platform
  • Tags: ethereum-ecosystem
  • Summary: Scam Sniffer is edge-distributed scam intelligence. The extension is just the delivery surface. The product is the feed: domain classification, signing-risk checks, list freshness, and the split between premium real-time access and the delayed public copy. Useful, but smaller than the strongest wallet-policy stacks.
  • What it does:
    • Runs a browser extension that warns on phishing sites and suspicious signing flows
    • Sells malicious-website detection, blacklist, and threat-intelligence APIs to wallets and other crypto products
    • Publishes an open-source phishing-domain and address dataset, but with a built-in delay relative to the paid real-time feed
    • Documents a transaction-precheck stack that combines domain checks, contract inspection, simulation, suspicious-address checks, and sign-request checks
    • Publishes public scam research and drainer-loss reporting that also helps reinforce its feed-distribution role
  • Key claims:
    • Homepage says Scam Sniffer aims to “enhance anti-scam capability of individual users” and presents both individual-user protection and API products for partners
    • Official site markets a malicious-website detection and blacklist API for safer browsing and signing experiences
    • Public site statistics claim tens of millions of scanned URLs, hundreds of thousands of scams found, and hundreds of thousands of blocked domains
    • Docs describe a layered security-check pipeline using domain analysis, contract checks, Tenderly-based simulation, suspicious-address lookups, malicious-code detection, and sign-request checks
    • The open-source scam-database repo says blacklist data is refreshed every 24 hours but published with a 7-day delay, while real-time access is sold through a premium API
  • Whitepaper: No classic whitepaper or litepaper was found during this pass. The strongest primary materials were the official homepage, docs pages, API/reference portal, and the official scam-database GitHub repository; see ../whitepapers/scam-sniffer-primary-sources-2026-04-25.md.
  • Sources:

Internal linkages

Control surface

  • The leverage is offchain: list freshness, false-positive handling, simulation quality, partner defaults, and who gets real-time feed access instead of the delayed public dataset.

  • That makes Scam Sniffer more than a phishing-extension note, but still smaller than a full transaction-policy stack.

  • Treat it as scam-intelligence distribution with wallet-facing enforcement hooks, not as a protocol or neutral base dataset.

  • Last reviewed: 2026-05-26 UTC