Security Scan Report: sp30ct-qorek-biz-zemad-vunik.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Sep 16, 2026, 2:54:00 AMCompleted: Sep 16, 2026, 2:54:27 AMpubliccompleted

Summary

This website contacted 6 IPs in 2 countries across 5 domains to perform 1 HTTP transaction. The main domain is facebook.com and was registered 22 years ago.

Submitted URL: http://sp30ct-qorek-biz-zemad-vunik.pages.dev/

Effective URL:

https://www.facebook.com/
Redirected

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Random pages.dev subdomain clones Meta/Facebook branding ('Page Appeal') with an email+password login form on a non-Meta domain — a phishing-shaped page impersonating Meta. Only mitigating factor is the form posting to facebook.com.

Risk Factors
Brand impersonation of Meta/Facebook on a non-Meta, unranked hosting subdomain
Email/mobile + password login form served from a random pages.dev subdomain
Social-engineering 'Page Appeal' theme targeting Facebook page owners
Hosting-platform subdomain whose actual creation date is unknown (could be minutes old)
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(46%)

Domain Information

Domain 'sp30ct-qorek-biz-zemad-vunik.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'sp30ct-qorek-biz-zemad-vunik'. Its registrable label 'pages' stretches across 5 characters split between two vowels and three consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp30ct-qorek-biz-zemad-vunik.pages.dev/

Page Load Overview

0.61s
Total Load Time
39
HTTP Requests
5
Domains
2.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:2,012 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network46% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
46%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
396--

Page Statistics

39
Requests
5
Unique Domains
2.4 MB
Total Size

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13001FE13CC10D48DA67093AFFD72B17CC94AB90CAAA17C50B8C615DB4BE0BE0CC67856

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0n56M8C2Zn816pX8VGuaXiKMci/CrC+yAVe17BuTG7faKj2a:hR056tC3spXoGa3WC+dVqkC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:707:AAAAAAAAAACAABAAAAgAAAAAAAAAAACAAAgBAAAIAAAgAQIAAAAAAAAABAAAAAAAAAQAgAABAAAAAAAAAAAAAAAgAAAQAAAA

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:003c3c3c3c3c3800
Perceptual Hash:8a9b35267164bc9d
Difference Hash:8d69717979e1e11f
Wavelet Hash:013d3d3c3d3d3d01
Color Hash:#8bac53

Scan History

Scan history not available

Unable to load historical scan data