Security Scan Report: pfxmz53hwu-wtrkb81fyn-9k7i4g-yk755c.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 5 domains to perform 44 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://pfxmz53hwu-wtrkb81fyn-9k7i4g-yk755c.pages.dev/

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

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit (2 HIGH kit-roster hits) harvesting Facebook credentials via a fake login on a disposable pages.dev subdomain, with scanner-cloaking redirects to real facebook.com.

Risk Factors (5)
Known malicious phishing kit family 'meta-page-appeal' matched by kit roster with HIGH confidence (2 sightings)
Credential-capturing form (1 password field, 1 email/username field) on a non-official Meta/Facebook domain
Impersonation of Meta/Facebook business 'Page Appeal' workflow on a throwaway Cloudflare Pages subdomain
Bot-protection/evasion cloaking: datacenter scanner saw a challenge/facebook.com redirect, residential client saw the phishing lure
Unranked domain on shared hosting platform with unknown page-level creation date
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'pfxmz53hwu-wtrkb81fyn-9k7i4g-yk755c.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'pfxmz53hwu-wtrkb81fyn-9k7i4g-yk755c'. The second-level label 'pages' is 5 characters long holding two vowels versus 3 consonants. It segments into 1 word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pfxmz53hwu-wtrkb81fyn-9k7i4g-yk755c.pages.dev/

Page Load Overview

11.85s
Total Load Time
2.7 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 network44% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
44%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.66.47.52Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6172.66.44.204Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
447--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D01FE13CC10D48DE77093ABFD72B17CC94AB90DAAA17C60B4CA15DB4AE0BE0CC67855

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0n56M8C2Zn816pX8VGuaXiKMci/CrC+u0Ve17BuTG7faKj2a:hR056tC3spXoGa3WC+u0VqkC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:707:AAAAAAAAAACAABAAAAgAAAAAAAAAAACAAAABAABIAAAgAQIAAAAAAAAABAAAAAAAAAAIgAAAAAAAAAAAAAAAAAAgAAAQAAAA

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:#2d3c86

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data