Security Scan Report: vormela-kxt-belfora-p7t4dw83.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 44 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://vormela-kxt-belfora-p7t4dw83.pages.dev/

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

AI Security Verdict

High Risk

Confidence: 72%

8
Risk Score

Meta/Facebook 'Page Appeal' branding served from a random unranked pages.dev subdomain with an email+password login form. Brand impersonation on a non-official host; no IoC or malware, but do not enter credentials.

Risk Factors (5)
Impersonation of Meta/Facebook ('Page Appeal') on a pages.dev subdomain that is not Meta's official domain
Credential entry form (email + password) hosted on the non-official subdomain
Unranked domain with no attributable reputation; platform apex age says nothing about this page
Default create-react-app meta description inconsistent with the claimed brand
Residential-client content differs from the scanner's block page (bot-protection style evasion), though this alone is common on legitimate sites
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'vormela-kxt-belfora-p7t4dw83.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'vormela-kxt-belfora-p7t4dw83'. Its registrable label 'pages' stretches across 5 characters split between two vowels and three consonants. It segments into one word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vormela-kxt-belfora-p7t4dw83.pages.dev/

Page Load Overview

1.95s
Total Load Time
2.7 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
9188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7104.26.0.100Cloudflare · 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.
7188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
446--

Detected Technologies3

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:#8cbf40

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data