Summary
API
Submitted URL: https://today-submit8386.sbs/
AI Security Verdict
Confirmed Scam
Confidence: 95%
Fake Meta Verified site on a 2-day-old domain impersonating Meta, harvesting business contact details via a form wired to a Telegram bot token for exfiltration. Do not submit any information.
Risk Factors (5)
Details
Page Title
Meta Verified for businesses | Verify your business on Facebook, Instagram and WhatsApp | Meta for Business
Scan Type
public
Domain Name Analysis
The domain name 'today-submit8386.sbs' uses the .sbs top-level domain with no subdomain. Its registrable label 'today-submit8386' stretches across 16 characters containing four vowels alongside 7 consonants, notching 4 digits and one hyphen. Breaking it apart gives three words: today, submit, 8386. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 7 | 103.130.216.14 | Vietnam | AS135951Webico Company Limited |
| 2 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 2 | 172.67.68.11Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 34.117.59.81Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 2 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 2 | 142.251.110.94Google · CDN | United States | AS15169Google LLC |
| 2 | 142.251.110.95Google · CDN | United States | AS15169Google LLC |
| 2 | 104.26.2.143Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 142.251.14.94Google · CDN | United States | AS15169Google LLC |
| 23 | 9 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data