Security Scan Report: bkstr29ikm8-ktpmqskr-1m4h7g-jks39c821.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: https://bkstr29ikm8-ktpmqskr-1m4h7g-jks39c821.pages.dev/

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

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Known Meta 'Page Appeal' phishing kit on a disposable pages.dev host, cloaking scanners to real Facebook while harvesting logins from visitors via a fake Meta Business appeal login form. Do not enter credentials.

Risk Factors (5)
Known malicious phishing kit (Meta 'Page Appeal' family) identified on the page's scripts
Brand impersonation of Meta/Facebook login on an unrelated, unranked disposable host
Credential capture form with email and password fields behind brand-styled appeal lure
Cloaking: datacenter scanners redirected to real facebook.com, residential clients shown the lure
Free hosting subdomain with unknown creation date used as phishing infrastructure
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), 'bkstr29ikm8-ktpmqskr-1m4h7g-jks39c821.pages.dev' is registered, featuring subdomain 'bkstr29ikm8-ktpmqskr-1m4h7g-jks39c821'. The second-level label 'pages' is 5 characters long split between two vowels and three consonants. It segments into 1 word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Page Load Overview

1.41s
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
6172.66.47.61Cloudflare · 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.
6172.66.44.195Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
427--

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:#8479d2

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data