Security Scan Report: sp20ct-varek-biz-zunex-kemad.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Sep 28, 2026, 7:50:58 AMCompleted: Sep 28, 2026, 7:51:57 AMpubliccompleted

This website contacted 7 IPs in 2 countries across 5 domains to perform 40 HTTP transactions. The main domain is facebook.com and was registered 22 years ago.

Submitted URL: http://sp20ct-varek-biz-zunex-kemad.pages.dev/

Effective URL:

https://www.facebook.com/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Analyst-vetted 'Meta Page Appeal' phishing kit on a pages.dev subdomain, impersonating Meta/Facebook and harvesting email+password; datacenter IPs are cloaked by redirecting to the real facebook.com.

Risk Factors (5)
Known malicious phishing kit identified by name and family (Meta 'Page Appeal', meta-page-appeal) — two independent HIGH-severity roster sighting(s)
Impersonation of Meta/Facebook brand on a non-Meta domain
Login form capturing email + password on disposable hosting infrastructure
Scanner-vs-client content cloaking with redirect of datacenter IPs to the genuine facebook.com
Unknown-age, unranked subdomain on a free hosting platform (.pages.dev)
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'sp20ct-varek-biz-zunex-kemad.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'sp20ct-varek-biz-zunex-kemad'. Its registrable label 'pages' stretches across 5 characters with 2 vowels and three consonants. Segmentation suggests one 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://sp20ct-varek-biz-zunex-kemad.pages.dev/

Page Load Overview

1.07s
Total Load Time
2.4 MB
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
10172.66.47.136Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5172.66.44.120Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
407--

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:3fffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#1f937e

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data