Security Scan Report: submit-today83868.sbs

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 3 countries across 6 domains to perform 23 HTTP transactions. The main domain is submit-today83868.sbs and was registered 1 week ago.

Submitted URL: https://submit-today83868.sbs/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake 'Meta Verified' application page on a 1-day-old unrelated domain, harvesting name, email, phone, DOB and page details, with a Telegram bot token wired into its scripts for exfiltration. Do not submit any information.

Risk Factors (4)
Brand impersonation of Meta on a mismatched, day-old domain
Personal-data collection form (name, email, phone, DOB, page name) on impersonating infrastructure
Telegram bot token embedded in page script — built-in exfiltration channel
Verification-badge bait language designed to induce users to submit information
Domain age information unavailable

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 'submit-today83868.sbs' uses the .sbs top-level domain without a subdomain. Count 17 characters in 'submit-today83868' with 4 vowels and 7 consonants, notching five digits and 1 hyphen. Tokenizing the label suggests three words: submit, today, 83868. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Meta Get Started Advertise Learn Support Show the world that you mean business. Meta Verified helps you build more confidence with new audiences and protects your brand. Submit Request Congratul...

Page Load Overview

6.30s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:8,018 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network87% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
87%
corporate business
70%
technology software
69%
documentation technical
63%
education learning
50%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5103.130.216.14Vietnam
AS135951Webico Company Limited
3142.250.154.95Google · CDNUnited States
AS15169Google LLC
3172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
334.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
357.144.248.128Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3142.251.110.94Google · CDNUnited States
AS15169Google LLC
3104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
237--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18DC313275219392B4437C7D16065AF3BD1B6DE8FFAA609005EDC87B62FFACA1341B118

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:2XDhQSt0oux/dQkazkfMAhu+S/bwO7SSFvLbNlJu+J2l6tiJ87JRHUQbOrC9N9N1:WhQSt0ouNdCv06k1C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123699:HWbQhM2NgwRoALCAAACC9AEKgSGG9XkAEEAQEACIMCIHOrXABIrSZgBAQmwESQEgJJ4AQtAEMjvIYEkJkxcT8gAACQEMRGlS

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

Average Hash:fff3f1e1f1b1f1f1
Perceptual Hash:ee95929b94720f64
Difference Hash:78034767676b2925
Wavelet Hash:fee1e18181a1f1f1
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data