Security Scan Report: dravuni-kxt-qelquro-r6t8fc15.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 43 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://dravuni-kxt-qelquro-r6t8fc15.pages.dev/

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

A pages.dev subdomain wearing Meta/Facebook 'Page Appeal' branding serves a fake Facebook login form and hides behind bot-protection evasion — a credential phishing page, not Meta.

Risk Factors (4)
Brand impersonation of Meta/Facebook on a non-official, unranked hosting-platform subdomain
Credential-harvesting login form (email + password) on infrastructure unrelated to the claimed brand
Anti-analysis / bot-protection content mismatch between scanner and residential capture
Randomly generated subdomain name with no relation to the impersonated brand
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), 'dravuni-kxt-qelquro-r6t8fc15.pages.dev' is registered; it also runs on subdomain 'dravuni-kxt-qelquro-r6t8fc15'. The core label 'pages' covers 5 characters holding two vowels versus three 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 http://dravuni-kxt-qelquro-r6t8fc15.pages.dev/

Page Load Overview

4.74s
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: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
7172.66.47.98Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6172.67.70.233Cloudflare · 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.
6172.66.44.158Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
437--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176019E13CC21D48DA270A3ABFD72B17CC989B90DAAA17C50B4D615DB4AE4BE0CC67952

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0n56M8C2Zn816pX8VGuaXiKMci/CrC+fivVe1BtTG7faKj2a:hR056tC3spXoGa3WC+6vVqfC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:707:AAAAAAAAAACAABAAAAgAAAAAAAABAACAAAABAAAIAAAgAQIAAAAAABAABAAABAAAAAAAgAAAAAAAAAAAAAAAAAAgAAAQAAAA

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:30f0f0f000000000
Color Hash:#2dd29e

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data