Security Scan Report: bgrfd26kdo-mtvljfyn-9j1k4d-bgr862-hwcps78xlo-qnkxz35.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 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://bgrfd26kdo-mtvljfyn-9j1k4d-bgr862-hwcps78xlo-qnkxz35.pages.dev/

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

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit served from a disposable pages.dev subdomain: it cloaks scanners, impersonates Meta Business, and harvests email + password credentials. Do not enter any login details.

Risk Factors (5)
Known malicious phishing kit (Meta page-appeal family) matched on two separate JS bundles
Credential harvesting form (email + password) on a non-Meta, throwaway subdomain
Impersonation of Meta/Facebook business-support branding on hosting-platform subdomain
Randomised 60+ character subdomain label typical of disposable phishing deployments
Bot-protection/cloaking differential between datacenter and residential clients used to hide the lure from scanners
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'bgrfd26kdo-mtvljfyn-9j1k4d-bgr862-hwcps78xlo-qnkxz35.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'bgrfd26kdo-mtvljfyn-9j1k4d-bgr862-hwcps78xlo-qnkxz35'. The second-level label 'pages' is 5 characters long holding 2 vowels versus 3 consonants. Splitting it apart reveals one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Page Load Overview

0.30s
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:78 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
corporate business
45%
social media network
35%
documentation technical
28%
finance banking
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
11157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
416--

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:07000000000

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data