Security Scan Report: sp29ct-zavun-biz-kemra-lorti.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 42 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://sp29ct-zavun-biz-kemra-lorti.pages.dev/

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

AI Security Verdict

High Risk

Confidence: 72%

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 a randomly-named subdomain on the shared pages.dev hosting platform whose actual creation date is unknown and which is not ranked in Cisco Umbrella — it exists only to forward visitors to a brand login page.
Scanner received a bot-protection block page while a residential client received the real content (evasion-shaped, but a pattern equally produced by ordinary Cloudflare challenges on legitimate sites).
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'sp29ct-zavun-biz-kemra-lorti.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'sp29ct-zavun-biz-kemra-lorti'. The registrable portion 'pages' spans 5 characters containing two vowels alongside three consonants. Breaking it apart gives 1 word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Page Load Overview

0.29s
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
6172.66.47.170Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6104.26.0.100Cloudflare · 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.
6172.66.44.86Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
427--

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:#8479d2

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data