Security Scan Report: qelqumi-rpx-fentora-a6x1fc24.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 45 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://qelqumi-rpx-fentora-a6x1fc24.pages.dev/thn-yjm-uio-lkh

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

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Confirmed Facebook/Meta 'Page Appeal' phishing page on a disposable pages.dev subdomain: analyst-vetted kit fingerprint, brand impersonation and a credential login form, with scanner cloaking redirecting bots to the real Facebook.

Risk Factors (5)
Brand impersonation of Facebook/Meta on a non-official domain
Credential-collecting login form (email + password) on attacker-controlled hosting
Matches analyst-vetted known phishing kit 'Meta Page Appeal' (two JS cohorts)
Scanner/cloaking evasion: datacenter IPs redirected to the legitimate facebook.com
Disposable hosting-platform subdomain of unknown age, unranked in Cisco Umbrella
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'qelqumi-rpx-fentora-a6x1fc24.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'qelqumi-rpx-fentora-a6x1fc24'. The core label 'pages' covers 5 characters containing 2 vowels alongside 3 consonants. Splitting it apart reveals one word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://qelqumi-rpx-fentora-a6x1fc24.pages.dev/thn-yjm-uio-lkh

Page Load Overview

2.42s
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

e-commerce63% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce
63%
other
35%
suspicious phishing
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.66.44.176Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6104.26.1.100Cloudflare · 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.
6172.66.47.80Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
457--

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:#4077bf

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data