Security Scan Report: sp1ct10-bunrek-biz-lumqo-varti.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 45 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://sp1ct10-bunrek-biz-lumqo-varti.pages.dev/

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

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

A pages.dev page branded as 'Meta for Business | Page Appeal' with a Facebook-style email+password login. Off-brand host, create-react-app meta, and unknown-age subdomain mark it as a credential-phishing imitation of Meta, not a genuine login page.

Risk Factors (5)
Brand impersonation of Meta/Facebook/Instagram on a non-official, unranked pages.dev subdomain
Credential-harvesting login form (email + password) served under an impersonated brand
Unknown tenant age on a free shared hosting platform (anyone can publish instantly)
Off-brand 'create-react-app' meta description on a Meta-branded login page
Cross-domain redirect from pages.dev to facebook.com inconsistent with the page's own branding
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'sp1ct10-bunrek-biz-lumqo-varti.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'sp1ct10-bunrek-biz-lumqo-varti'. The core label 'pages' covers 5 characters with two vowels and 3 consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp1ct10-bunrek-biz-lumqo-varti.pages.dev/

Page Load Overview

2.92s
Total Load Time
2.6 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
9188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
457--

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:#b7bf40

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data