Security Scan Report: sp11ct-lorzen-biz8-mexdor-vantri.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: http://sp11ct-lorzen-biz8-mexdor-vantri.pages.dev/

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

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Confirmed Meta/Facebook credential-phishing page: analyst-vetted 'Page Appeal' kit on an unranked pages.dev subdomain, impersonating Meta with a login form and cloaking real users from scanners. Do not enter credentials.

Risk Factors (6)
Known malicious Meta 'Page Appeal' credential-phishing kit (analyst-vetted, two cohorts) confirmed on page content
Brand impersonation: Meta/Facebook login interface on a non-Meta domain
Credential harvesting form (email/username + password field)
Disposable hosting subdomain (pages.dev) with unknown subdomain age
Scanner-vs-residential cloaking (decoy/block page for datacenter IPs, lure for real users) alongside brand impersonation
Threat-intel phishing report against the entry domain
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'sp11ct-lorzen-biz8-mexdor-vantri.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'sp11ct-lorzen-biz8-mexdor-vantri'. Count 5 characters in 'pages' holding 2 vowels versus three consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp11ct-lorzen-biz8-mexdor-vantri.pages.dev/

Page Load Overview

0.40s
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: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
9172.66.44.174Cloudflare · 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.
5172.66.47.82Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
397--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13001FE13CC10D48DA67093AFFD72B17CC94AB90CAAA17C50B8C615DB4BE0BE0CC67856

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0n56M8C2Zn816pX8VGuaXiKMci/CrC+yAVe17BuTG7faKj2a:hR056tC3spXoGa3WC+dVqkC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:707:AAAAAAAAAACAABAAAAgAAAAAAAAAAACAAAgBAAAIAAAgAQIAAAAAAAAABAAAAAAAAAQAgAABAAAAAAAAAAAAAAAgAAAQAAAA

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:30f0f0f0f0f0f0f0
Color Hash:#d0e06c

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data