Security Scan Report: sp29ct-lunra-biz-kemro-vatik.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 5 domains to perform 42 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://sp29ct-lunra-biz-kemro-vatik.pages.dev/

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

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

This page on free hosting leads, one click in, to a sign-in form of the kind used to steal passwords — rated high risk on that basis.

Risk Factors (2)
Entry point is an opaque, randomly named free pages.dev subdomain that immediately redirects off-site to a Facebook 'Page Appeal' destination — a redirect style frequently used as a lure wrapper in campaigns targeting page owners
Entry domain is unranked and, being a pages.dev tenant, of unknown actual creation age (the apex registration date is not attributable to this page)
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'sp29ct-lunra-biz-kemro-vatik.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'sp29ct-lunra-biz-kemro-vatik'. The core label 'pages' covers 5 characters split between two vowels and three consonants. Segmentation suggests 1 word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Page Load Overview

0.47s
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: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
7188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
426--

Detected Technologies4

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:#d279cc

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data