Security Scan Report: berquni-kxt-qorfeta-p5t1fc83-7s5.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 42 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://berquni-kxt-qorfeta-p5t1fc83-7s5.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 on a disposable pages.dev subdomain, impersonating Meta and presenting an email/password login form while cloaking scanners by redirecting them to the real facebook.com. Credential theft — do not enter any login details.

Risk Factors (5)
Known malicious phishing kit identified by vetted kit roster (Meta Page Appeal, two cohorts)
Impersonation of Meta/Facebook branding on a non-Meta disposable hosting subdomain
Credential-harvesting form (email + password) on the lure page
Scanner cloaking / bot-protection bypass: scanner received a decoy block page while residential clients received the lure
Disposable pages.dev tenant 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

The domain 'berquni-kxt-qorfeta-p5t1fc83-7s5.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'berquni-kxt-qorfeta-p5t1fc83-7s5'. The registrable portion 'pages' spans 5 characters holding two vowels versus three consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://berquni-kxt-qorfeta-p5t1fc83-7s5.pages.dev/

Page Load Overview

1.26s
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

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
6172.66.44.171Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6104.26.0.100Cloudflare · 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.
6172.66.47.85Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
427--

Detected Technologies1

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:#931f3c

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data