Security Scan Report: sp30ct-qemav-biz-runik-zodel.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Sep 27, 2026, 10:12:34 AMCompleted: Sep 27, 2026, 10:13:11 AMpubliccompleted

This website contacted 7 IPs in 2 countries across 5 domains to perform 42 HTTP transactions. The main domain is facebook.com and was registered 22 years ago.

Submitted URL: http://sp30ct-qemav-biz-runik-zodel.pages.dev/

Effective URL:

https://www.facebook.com/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Analyst-vetted 'Meta Page Appeal' phishing kit on a disposable pages.dev subdomain impersonating Meta Business and harvesting credentials, with scanner cloaking that redirects datacenter IPs to the real Facebook page.

Risk Factors (5)
Known malicious phishing kit identified by name (Meta Page Appeal, family meta-page-appeal)
Brand impersonation of Meta/Facebook on a non-Meta domain
Credential collection form (email + password) on the impersonating page
Bot/cloaking evasion: datacenter-IP scanner redirected to legitimate facebook.com while real clients see the lure
Free/instant shared hosting subdomain (.pages.dev) not in Cisco Umbrella top 1M
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'sp30ct-qemav-biz-runik-zodel.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'sp30ct-qemav-biz-runik-zodel'. Count 5 characters in 'pages' containing two vowels alongside 3 consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp30ct-qemav-biz-runik-zodel.pages.dev/

Page Load Overview

1.57s
Total Load Time
2.5 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 network46% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
46%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
427--

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:#d26c2d

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data