ScAIm автор Graham Hartridge

ScAIm acts like a neurotic security expert watching over your shoulder. It analyzes every web page you visit for signs of scams, phishing, and manipulation — then warns you before you make a mistake.

What ScAIm detects:

Phishing: Lookalike domains, brand impersonation, login forms on suspicious sites, URL tricks
Social engineering: Fake virus alerts, countdown timers, pressure language, fear tactics
Financial scams: Requests for bank details, wire transfers, gift card payments, advance fees
Fake e-commerce: Unrealistic discounts, missing contact info, suspicious checkout forms, fake reviews
Structural red flags: Hidden iframes, external form submissions, obfuscated scripts, link spoofing
How it works:

ScAIm runs five independent detectors that scan the page's text, links, forms, and structure. Findings are scored and combined — signals from multiple categories compound aggressively, because real scams always combine techniques. Results appear as a color-coded banner at the top of the page (yellow for caution, orange for warning, red for danger) with specific, actionable observations explaining exactly what was found and why it matters.

Privacy:

All analysis runs entirely within your browser. ScAIm makes zero network requests. No personal data, browsing history, or page content is ever collected, stored, transmitted, or logged. The only thing saved is your on/off preference.

Source code available at: https://github.com/ghartrid/ScAIm