Security Scan Report: qynkj81lzxc-xlzgbwur-3m9m5b-qynk39p.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 40 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://qynkj81lzxc-xlzgbwur-3m9m5b-qynk39p.pages.dev/

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

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Random pages.dev subdomain presents a 'Meta for Business | Page Appeal' login form claiming to be Facebook/Meta. Brand impersonation plus credential capture on a non-Meta host — treat as phishing and avoid entering credentials.

Risk Factors (6)
Impersonation of Meta/Facebook branding on a non-official domain (pages.dev randomized subdomain)
Credential login form (email + password) on the impersonating page
Cross-origin form action posting off the hosting domain
Randomized free-hosting subdomain with unknown creation date (could be minutes old)
'Page Appeal' social-engineering lure framing
create-react-app boilerplate meta description inconsistent with genuine Meta service pages
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'qynkj81lzxc-xlzgbwur-3m9m5b-qynk39p.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'qynkj81lzxc-xlzgbwur-3m9m5b-qynk39p'. The core label 'pages' covers 5 characters holding 2 vowels versus 3 consonants. Breaking it apart gives 1 word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Page Load Overview

2.61s
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: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
10188.114.96.3Cloudflare · 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.
5188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
407--

Detected Technologies4

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:#87c59d

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data