Security Scan Report: meta-kuraki-biz-fazuno-romelo.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 5 domains to perform 42 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://meta-kuraki-biz-fazuno-romelo.pages.dev/

Effective URL:
https://www.facebook.com/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Confirmed Meta/Facebook 'Page Appeal' credential-phishing kit on a disposable pages.dev subdomain — impersonates Meta branding, harvests login credentials, and cloaks scanners by redirecting them to real facebook.com.

Risk Factors (5)
Known malicious phishing kit (Meta 'Page Appeal', family=meta-page-appeal) confirmed by two independent JS fingerprints
Brand impersonation of Meta/Facebook on a non-official, unranked domain
Credential-harvesting login form (password + email fields) in the impersonated brand context
Scanner-vs-client content cloaking used to evade detection
Disposable pages.dev subdomain with unknown creation date and no Cisco Umbrella reputation
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'meta-kuraki-biz-fazuno-romelo.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'meta-kuraki-biz-fazuno-romelo'. Count 5 characters in 'pages' holding 2 vowels versus 3 consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://meta-kuraki-biz-fazuno-romelo.pages.dev/

Page Load Overview

4.15s
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
7172.66.44.111Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
426--

Detected Technologies3

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:#785b3a

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data