Security Scan Report: sp26ct10-melvuno-biz-kazati.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 43 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://sp26ct10-melvuno-biz-kazati.pages.dev/

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Free pages.dev tenant presents a Meta for Business 'Page Appeal' login form off Meta's official domain; brand impersonation plus credential fields makes it a likely phishing page despite the form posting to facebook.com.

Risk Factors (5)
Brand impersonation: non-official pages.dev subdomain displays Meta for Business / Facebook page-appeal branding.
Credential login form with email and password fields on a free shared-hosting tenant.
Default create-react-app meta description indicates an unofficial React app rather than a Meta-operated page.
Entry subdomain creation date is unknown; pages.dev is a shared hosting platform where the page could be newly created.
Bot-protection/block-page mismatch hides the real Meta appeal login from the datacenter scanner while showing it to a residential client.
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'sp26ct10-melvuno-biz-kazati.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'sp26ct10-melvuno-biz-kazati'. The second-level label 'pages' is 5 characters long with 2 vowels and three consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Page Load Overview

0.39s
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
8172.66.47.153Cloudflare · 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.
7172.66.44.103Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
436--

Detected Technologies1

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