Security Scan Report: belqavi-kxt-qanqela-c6x8dw27.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: http://belqavi-kxt-qanqela-c6x8dw27.pages.dev/

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

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Phishing page impersonating Meta's 'Business Page Appeal' on a disposable pages.dev subdomain, harvesting Facebook credentials; matches analyst-vetted meta-page-appeal kit and cloaks scanners by redirecting them to the real facebook.com.

Risk Factors (5)
Known phishing kit family (meta-page-appeal) matched on two independent JS bundle fingerprints
Impersonation of Meta/Facebook brand on a non-Meta domain
Credential harvesting login form (email + password) on disposable hosting
Scanner cloaking — real facebook.com served to datacenter IPs, lure served to residential clients
Free hosting subdomain with unknown creation date and no reputation
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'belqavi-kxt-qanqela-c6x8dw27.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'belqavi-kxt-qanqela-c6x8dw27'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside 3 consonants. Splitting it apart reveals one word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://belqavi-kxt-qanqela-c6x8dw27.pages.dev/

Page Load Overview

0.81s
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:2,012 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network44% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
44%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.66.44.81Cloudflare · 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.
5104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5172.66.47.175Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
417--

Detected Technologies1

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:#d22d9b

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data