Security Scan Report: qenzeri-mpt-fazqano-h4d6ka95.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 39 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://qenzeri-mpt-fazqano-h4d6ka95.pages.dev/

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

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit on a disposable pages.dev subdomain: fake Meta/Facebook login harvesting email and password, cloaking datacenter scanners behind a redirect to the real facebook.com.

Risk Factors (5)
Known malicious phishing kit 'meta-page-appeal' identified by analyst-vetted kit roster (HIGH)
Brand impersonation of Meta/Facebook on a non-official domain
Credential-harvesting login form (email + password) on a disposable cloud-hosting subdomain
Scanner/cloaking evasion: datacenter IPs redirected to genuine facebook.com, residential users served the lure
Unknown-age subdomain on free hosting platform, unranked domain reputation
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'qenzeri-mpt-fazqano-h4d6ka95.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'qenzeri-mpt-fazqano-h4d6ka95'. The registrable portion 'pages' spans 5 characters holding two vowels versus three consonants. Tokenizing the label suggests 1 word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://qenzeri-mpt-fazqano-h4d6ka95.pages.dev/

Page Load Overview

0.33s
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: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
9172.66.47.158Cloudflare · 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.
5172.66.44.98Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
397--

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:#2d8649

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data