Security Scan Report: qulnar-dremor-7a31dc-gb1504bb-s2406vma.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://qulnar-dremor-7a31dc-gb1504bb-s2406vma.pages.dev/

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

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Analyst-vetted 'Meta Page Appeal' phishing kit on a pages.dev subdomain impersonating Meta for Business and harvesting email/password; the facebook.com redirect is kit cloaking, not a real login.

Risk Factors (5)
Known malicious phishing kit (Meta page-appeal family) matched by analyst-vetted roster fingerprint
Brand impersonation of Meta/Facebook on an unrelated pages.dev subdomain
Credential collection form (email/username + password) on the impersonating host
Free hosting-platform subdomain with unknown creation date fronting a major brand login
Cloaking / bot-conditioned content divergence between scanner and residential capture
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'qulnar-dremor-7a31dc-gb1504bb-s2406vma.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'qulnar-dremor-7a31dc-gb1504bb-s2406vma'. Its registrable label 'pages' stretches across 5 characters split between 2 vowels and three consonants. Breaking it apart gives 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Page Load Overview

6.35s
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
7188.114.96.3Cloudflare · 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.
6188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
437--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A6017B53CC10D48DA27093ABFEB2B57CC589B90DAAA16C50B4C615DB4AE0BE0DC66952

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0n56M8C2Zn816pX8VGuaXiKMci/CrC+UJvVe1nYjTG7faKj2a:hR056tC3spXoGa3WC+UdVqnEC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:707:AAAAAAAAAAKAABAAAAgAAAAAAAAAAACAAAABAAAIAAAgAQIAAAAAAAAABAAAAAAAAAAAgAAAAAAAAAAAAAAEAACgAAAQAAAA

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:#6ce0ca

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data