Security Scan Report: vormuni-mpt-zanqavi-a4x7ka51.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 41 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://vormuni-mpt-zanqavi-a4x7ka51.pages.dev/thn-yjm-uio-lkh?welcome=182787765079583/

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

AI Security Verdict

High Risk

Confidence: 72%

8
Risk Score

Randomly named pages.dev tenant titled 'Meta for Business | Page Appeal' with an email/password form, geolocation cloaking and a hand-off to facebook.com. Treat as a Meta page-appeal credential lure despite the facebook.com form action.

Risk Factors (5)
Meta/Facebook 'Page Appeal' branding presented on a non-Meta, randomly named pages.dev tenant
Credential form (email + password) on a shared-hosting platform subdomain whose creation date is unknown
External IP geolocation lookup (get.geojs.io) suggesting visitor filtering/cloaking
Randomized subdomain and path with a 'welcome' parameter used as a redirect entry point to facebook.com
Content served to residential clients differs from what automated scanners receive
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'vormuni-mpt-zanqavi-a4x7ka51.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'vormuni-mpt-zanqavi-a4x7ka51'. The second-level label 'pages' is 5 characters long with two vowels and three consonants. Segmentation suggests 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Page Load Overview

0.60s
Total Load Time
2.5 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
11188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5104.26.0.100Cloudflare · 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.
5188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
417--

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:#409fbf

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data