Security Scan Report: sp22ct-murex-biz-qanik-zalod.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Sep 21, 2026, 3:50:48 AMCompleted: Sep 21, 2026, 3:51:08 AMpubliccompleted

This website contacted 4 IPs in 2 countries across 4 domains to perform 8 HTTP transactions. The main domain is facebook.com and was registered 19 years ago.

Submitted URL: http://sp22ct-murex-biz-qanik-zalod.pages.dev/

Effective URL:

https://www.facebook.com/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Confirmed Meta 'Page Appeal' credential-phishing kit on a pages.dev subdomain: it cloaks scanners by redirecting them to real facebook.com while harvesting Facebook/Meta logins from real visitors.

Risk Factors
Known malicious phishing kit (Meta 'Page Appeal') identified twice by analyst-vetted signatures
Credential harvesting form (email + password) on a non-official domain
Impersonation of Meta/Facebook branding on an unrelated pages.dev subdomain
Anti-analysis cloaking: scanner redirected to genuine facebook.com, real clients shown the lure
Unranked disposable hosting subdomain of unknown creation age
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'sp22ct-murex-biz-qanik-zalod.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'sp22ct-murex-biz-qanik-zalod'. The registrable portion 'pages' spans 5 characters containing 2 vowels alongside 3 consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp22ct-murex-biz-qanik-zalod.pages.dev/

Page Load Overview

0.43s
Total Load Time
209 KB
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
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
84--

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:8adb25267164bc9d
Difference Hash:8d69717979e1e11f
Wavelet Hash:013d3d3c3d3d3d01
Color Hash:#78563a

Scan History

Scan history not available

Unable to load historical scan data