Security Scan Report: zemquni-kxt-felrani-c7x4hq29.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 5 domains to perform 52 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://zemquni-kxt-felrani-c7x4hq29.pages.dev/

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

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

A randomized pages.dev subdomain presents a 'Meta for Business | Page Appeal' login page with an email/password form, impersonating Meta on a non-Meta host. Credential exfiltration was not confirmed (form posts to facebook.com), but the branding, cloaking and geolocation lookup make it unsafe.

Risk Factors (6)
Impersonation of Meta/Facebook branding on a domain that is not owned by Meta
Credential-entry form (email + password) hosted on an unrelated third-party subdomain
Randomized, disposable-looking pages.dev subdomain of unknown creation date
IP geolocation / fingerprinting script (get.geojs.io) loaded by the page
Cloaked delivery: bot-protection/challenge shown to datacenter scanner, real appeal page shown to residential client
Scaffold meta description 'Web site created using create-react-app' inconsistent with a corporate 'Meta for Business' portal
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'zemquni-kxt-felrani-c7x4hq29.pages.dev' is registered with subdomain 'zemquni-kxt-felrani-c7x4hq29'. The core label 'pages' covers 5 characters holding 2 vowels versus three consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Page Load Overview

0.65s
Total Load Time
16.6 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
45%
social media network
35%
documentation technical
28%
finance banking
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10172.66.47.110Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7172.67.70.233Cloudflare · 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.
7172.66.44.146Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
527--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176019E13CC21D48DA270A3ABFD72B17CC989B90DAAA17C50B4D615DB4AE4BE0CC67952

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0n56M8C2Zn816pX8VGuaXiKMci/CrC+fivVe1BtTG7faKj2a:hR056tC3spXoGa3WC+6vVqfC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:707:AAAAAAAAAACAABAAAAgAAAAAAAABAACAAAABAAAIAAAgAQIAAAAAABAABAAABAAAAAAAgAAAAAAAAAAAAAAAAAAgAAAQAAAA

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:30f0f0f000000000
Color Hash:N/A

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data