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 38 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://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 'Page Appeal' phishing kit on a pages.dev subdomain: cloaks scanners, impersonates Meta Business and harvests login credentials. Do not enter any credentials.

Risk Factors (5)
Brand impersonation of Meta/Facebook on an unrelated pages.dev subdomain
Credential-harvesting login form (email + password) on attacker-controlled hosting
Analyst-vetted known phishing kit (Meta 'Page Appeal') with byte/AST-identical JS fingerprints
Cloaking: redirect of datacenter IPs to the legitimate facebook.com to evade scanners
Unknown-age free-hosting subdomain with no reputation
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'sp11ct-lorzen-biz8-mexdor-vantri.pages.dev' is registered; it also runs on subdomain 'sp11ct-lorzen-biz8-mexdor-vantri'. The registrable portion 'pages' spans 5 characters holding two vowels versus three consonants. Segmentation suggests one word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.36s
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: webapp
Method: ml+structural

All Detected Categories

social media network
44%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.66.47.82Cloudflare · 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.
5172.66.44.174Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
387--

Detected Technologies3

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:#53ac62

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data