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+25 llms.txt +15 structured API missing +20 ai-plugin
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llms.txt Content

# Alertoscan > Alertoscan is a security intelligence platform purpose-built for the forensic analysis of fraudulent websites. The core is a real-time scanning engine that performs live, anti-detection scraping of arbitrary targets, extracts forensic signals from the rendered DOM and the full network layer, persists every observation into a property-graph threat database, and computes a 14-chain risk score weighted against the resulting cross-domain correlations. Every scan resolves under a minute. Every result becomes a permanent, indexable intelligence record cross-linked to the broader threat graph. Anonymous access supports up to 3 scans per day per IP; signed-in accounts get 10. Results live at https://alertoscan.io. ## Engine Capabilities - **Live target acquisition**: server-side SPA rendering, TLS handshake inspection, full network telemetry capture - **Anti-detection scraping**: bypasses Cloudflare Bot Management and similar interstitial protections in approximately 90% of real-world scans, so the forensic pipeline runs against the actual target rather than an error placeholder - **DOM and content forensics**: build hashes, favicon hashes, content hashes, JS path hashes, image-set fingerprints. These are the signals that link cloned scam sites across rotated domains - **Network forensics**: redirect chain reconstruction, full HTTP transaction log, resource breakdown by type, page-load timing decomposition (DNS, TCP, TLS, TTFB, DOM ready, page load) - **Identity forensics**: multi-registry WHOIS resolution with fallback chains, hosting attribution, ASN mapping, geo, server software fingerprinting - **TLS forensics**: certificate validity, issuer, expiry, protocol version, cipher suite, SHA-256 fingerprint, subject alternative names - **IOC extraction**: emails, phone numbers, postal addresses, Telegram handles, crypto wallet addresses recovered from the rendered page, deduplicated against regulator warnings and victim reports - **Graph persistence**: ever