Security Scan Report: sp22ct-rumik-biz-kemur-zolad.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Sep 25, 2026, 5:03:30 AMCompleted: Sep 25, 2026, 5:04:08 AMpubliccompleted

This website contacted 6 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://sp22ct-rumik-biz-kemur-zolad.pages.dev/

Effective URL:

https://www.facebook.com/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed Meta 'Page Appeal' credential-phishing kit on a pages.dev subdomain impersonating Facebook/Meta, cloaking scanners and harvesting login credentials.

Risk Factors (5)
Known malicious phishing kit (Meta Page Appeal family) detected via analyst-vetted kit roster
Brand impersonation of Meta/Facebook on a domain that is not Meta's official domain
Credential-harvesting login form (email + password) on an unranked, disposable hosting subdomain
Anti-bot cloaking: datacenter/scanner IPs redirected to the genuine facebook.com while real users see the phishing page
Unranked domain in Cisco Umbrella with unknown subdomain creation date
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'sp22ct-rumik-biz-kemur-zolad.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'sp22ct-rumik-biz-kemur-zolad'. The registrable portion 'pages' spans 5 characters with 2 vowels and 3 consonants. Segmentation suggests one word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp22ct-rumik-biz-kemur-zolad.pages.dev/

Page Load Overview

0.83s
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: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
7188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
426--

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:003c3c3c3c3c3800
Perceptual Hash:8a9b35267164bc9d
Difference Hash:8d69717979e1e11f
Wavelet Hash:013d3d3c3d3d3d01
Color Hash:#40931f

Scan History

Scan history not available

Unable to load historical scan data