Security Scan Report: sp30ct10-nalvako-biz-zuremi.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://sp30ct10-nalvako-biz-zuremi.pages.dev/

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

AI Security Verdict

High Risk

Confidence: 68%

8
Risk Score

A 'Meta for Business | Page Appeal' login page is served from a random create-react-app React site on a pages.dev subdomain, not facebook.com — consistent with a Facebook Business credential-phishing lure even though the form action points to facebook.com.

Risk Factors (5)
Brand impersonation of Meta/Facebook Business on a non-official pages.dev subdomain
Credential (email + password) login form presented on an unranked, unknown-age, shared-hosting subdomain
create-react-app default meta description inconsistent with Facebook's real site stack
Random-looking subdomain name typical of phishing campaign infrastructure
Cross-domain redirect to facebook.com combined with scanner-vs-client content mismatch (possible cloaking)
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'sp30ct10-nalvako-biz-zuremi.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'sp30ct10-nalvako-biz-zuremi'. The registrable portion 'pages' spans 5 characters containing two vowels alongside 3 consonants. Segmentation suggests 1 word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Page Load Overview

0.36s
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
7188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7104.26.1.100Cloudflare · 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.
7188.114.96.9Cloudflare · 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:#1f5393

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data