Security Scan Report: velzuni-mpt-farqavi-c6d7me95.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Sep 17, 2026, 7:59:08 AMCompleted: Sep 17, 2026, 7:59:28 AMpubliccompleted

This website contacted 4 IPs in 2 countries across 4 domains to perform 7 HTTP transactions. The main domain is facebook.com and was registered 19 years ago.

Submitted URL: https://velzuni-mpt-farqavi-c6d7me95.pages.dev/

Effective URL:

https://www.facebook.com/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Confirmed Meta/Facebook 'Page Appeal' credential-phishing kit: a fake Facebook login harvests email and password on an unrelated pages.dev subdomain using scanner cloaking. Do not enter credentials.

Risk Factors (5)
Known malicious phishing kit identified by analyst-vetted kit roster (2 independent cohort matches)
Brand impersonation of Meta/Facebook on a non-official, unranked domain
Credential-collection form (email/mobile + password) presented as a Facebook login
Scanner-vs-residential content cloaking used to evade detection
Hosted on disposable pages.dev subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'velzuni-mpt-farqavi-c6d7me95.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'velzuni-mpt-farqavi-c6d7me95'. The second-level label 'pages' is 5 characters long with two vowels and 3 consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://velzuni-mpt-farqavi-c6d7me95.pages.dev/

Page Load Overview

0.41s
Total Load Time
214 KB
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 network46% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
46%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.66.47.198Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.66.44.58Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
74--

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:003c3c3c3c3c3800
Perceptual Hash:8adb25267164bc9d
Difference Hash:8d69717979e1e11f
Wavelet Hash:013d3d3c3d3d3d01
Color Hash:#87c592

Scan History

Scan history not available

Unable to load historical scan data