Security Scan Report: r39qj-ud1-d5pq-0hemb-14-09-2026-hh.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Sep 18, 2026, 1:53:03 AMCompleted: Sep 18, 2026, 1:53:36 AMpubliccompleted

This website contacted 6 IPs in 2 countries across 5 domains to perform 38 HTTP transactions. The main domain is facebook.com and was registered 22 years ago.

Submitted URL: http://r39qj-ud1-d5pq-0hemb-14-09-2026-hh.pages.dev/

Effective URL:

https://www.facebook.com/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed Meta/Facebook 'Page Appeal' credential-phishing kit on a throwaway pages.dev subdomain, harvesting email and password behind brand impersonation and cloaking. Do not enter credentials.

Risk Factors
Known analyst-vetted phishing kit (Meta Page Appeal / meta-page-appeal)
Brand impersonation of Meta/Facebook on a non-official, unranked domain
Credential collection form (email/mobile + password)
Free hosting-platform subdomain with randomized name and unknown creation date
Cloaking behavior: scanner received a blocked/challenge page while a residential client received the phishing lure
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'r39qj-ud1-d5pq-0hemb-14-09-2026-hh.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'r39qj-ud1-d5pq-0hemb-14-09-2026-hh'. Its registrable label 'pages' stretches across 5 characters with 2 vowels and 3 consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://r39qj-ud1-d5pq-0hemb-14-09-2026-hh.pages.dev/

Page Load Overview

5.61s
Total Load Time
2.4 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
8172.66.47.40Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6172.66.44.216Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6172.67.70.233Cloudflare · 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.
6157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
386--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC017B13CC10D48EA27093ABFDB2B16CC549B90DAAA27C50B4D615DB4AE4BE1CC67952

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0n56M8C2Zn816pX8VGuaXiKMci/CrC+qrVe1yTG7faKj2a:hR056tC3spXoGa3WC+qrVqyC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:707:AAAAAAAAAACIARAAAAgAAAABAAAAAACAAAABAAAIAAAgAQIAAAAAAAAABAAAAAAAAAAAgAAAAAAAAAAAAAAAEAAgAAAQAAAA

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:8a9b25e67164bc99
Difference Hash:8d69317979e1e11f
Wavelet Hash:013d3d3c3d3d3d01
Color Hash:#c9e06c

Scan History

Scan history not available

Unable to load historical scan data