Security Scan Report: pjbrq64x-ycgvh29zfn-4e1a-zbk63k.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 41 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://pjbrq64x-ycgvh29zfn-4e1a-zbk63k.pages.dev/

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

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

A Meta 'Page Appeal' phishing kit hosted on an anonymous pages.dev subdomain, impersonating Meta for Business and harvesting email/password credentials; analyst-vetted as a known malicious kit.

Risk Factors (5)
Known malicious Meta 'Page Appeal' phishing kit (two analyst-vetted cohorts)
Impersonation of Meta/Facebook brand on a non-Meta domain
Credential capture form (email/username + password field)
Scanner/cloaking mismatch — datacenter IPs receive a redirect or blank decoy while real users see the lure
Disposable Cloudflare Pages subdomain with unknown creation date and no domain reputation
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'pjbrq64x-ycgvh29zfn-4e1a-zbk63k.pages.dev' is registered, featuring subdomain 'pjbrq64x-ycgvh29zfn-4e1a-zbk63k'. The second-level label 'pages' is 5 characters long split between two vowels and 3 consonants. Segmentation suggests 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pjbrq64x-ycgvh29zfn-4e1a-zbk63k.pages.dev/

Page Load Overview

3.07s
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:78 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce63% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce
63%
other
35%
suspicious phishing
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.66.44.147Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5172.66.47.109Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
417--

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:#2d8649

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data