Security Scan Report: sp28ct-farel-biz-vumel-zitek.pages.dev

Redirected to:
https://sp28ct-farel-biz-vumel-zitek.pages.dev/send_appeal_request
Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 5 domains to perform 10 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://sp28ct-farel-biz-vumel-zitek.pages.dev/send_appeal_request

Effective URL:
https://sp28ct-farel-biz-vumel-zitek.pages.dev/send_appeal_request
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Analyst-vetted 'Meta Page Appeal' phishing kit impersonating Meta on a disposable pages.dev subdomain, using a 48-hour suspension threat to extract an 'appeal code'. Do not interact; report it.

Risk Factors (5)
Known malicious phishing kit fingerprint (meta-page-appeal) matched twice
Meta brand impersonation on a disposable .pages.dev subdomain unrelated to meta.com/facebook.com
Urgency and account-suspension pressure designed to force compliance
Anti-analysis cloaking behaviour observed for this kit family
Unranked host with no legitimate business footprint (legitimacy score 5/100)
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'sp28ct-farel-biz-vumel-zitek.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'sp28ct-farel-biz-vumel-zitek'. The core label 'pages' covers 5 characters with 2 vowels and 3 consonants. Segmentation suggests 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://sp28ct-farel-biz-vumel-zitek.pages.dev/send_appeal_request

Another page of the site in scan fc01d469

Page Load Overview

1.77s
Total Load Time
220 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,362 chars
Detector Agreement:80%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.66.47.70Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2157.240.0.13Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.44.186Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
105--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19162E6F1099817BD828F83A861227B88D2AEB16FF6774014F6AD1BE41FC3C91D957584

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gtkqR9dS1C4WemCDhakDi8On/mOsQVOZ0pugIqnr5RmA2QPWhaHQ3tiW9Y:gthS1MqDfDJCVdpMqnru8Ohwi3Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14828:JYQCMJAAsDAYjTYgAAAhXgQ4SEIRaiEgsQIBjUwIIOwwS0i8ZIKAkIAUhADwCOQjGxTsoQSAwEKCBGAQgKUpsABpQgAAVr2J

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:9f8fe3fff3e3efe3
Perceptual Hash:e4983823c79367c7
Difference Hash:3a362eacc6cec8cf
Wavelet Hash:0f038383f7e1e6e1
Color Hash:#931f3c

Scan History

Scan history not available

Unable to load historical scan data