Security Scan Report: sp3ct-polrik-biz8-kelqem-huvor.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Sep 21, 2026, 12:45:21 PMCompleted: Sep 21, 2026, 12:46:13 PMpubliccompleted

This website contacted 4 IPs in 2 countries across 4 domains to perform 8 HTTP transactions. The main domain is facebook.com and was registered 19 years ago.

Submitted URL: http://sp3ct-polrik-biz8-kelqem-huvor.pages.dev/

Effective URL:

https://www.facebook.com/
Redirected

AI Security Verdict

High Risk

Confidence: 70%

8
Risk Score

Random pages.dev subdomain cloning the Facebook/Meta sign-in with a custom create-react-app build and an email+password form, titled with a 'Page Appeal' lure — brand impersonation on a non-official, unranked domain.

Risk Factors (5)
Brand impersonation of Facebook/Meta on an unrelated pages.dev subdomain
Credential collection form (email + password) on a non-official domain
Free/instant hosting subdomain with unknown, possibly minutes-old creation date
Custom create-react-app build used to clone a well-known login page
Contacts external IP-lookup service consistent with visitor profiling
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'sp3ct-polrik-biz8-kelqem-huvor.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'sp3ct-polrik-biz8-kelqem-huvor'. Count 5 characters in 'pages' containing two vowels alongside 3 consonants. Splitting it apart reveals 1 word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp3ct-polrik-biz8-kelqem-huvor.pages.dev/

Page Load Overview

4.53s
Total Load Time
209 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:78 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
corporate business
46%
social media network
35%
documentation technical
29%
finance banking
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.66.44.196Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.47.60Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
84--

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:#1f4293

Scan History

Scan history not available

Unable to load historical scan data