Security Scan Report: sp28ct-gunem-biz-zorel-ranek.pages.dev

Redirected to:
https://sp28ct-gunem-biz-zorel-ranek.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-gunem-biz-zorel-ranek.pages.dev/send_appeal_request

Effective URL:
https://sp28ct-gunem-biz-zorel-ranek.pages.dev/send_appeal_request
Redirected

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

Deceptive Meta-branded appeal page on a random pages.dev subdomain, using urgent account-review threats and an appeal-code lure to impersonate Meta.

Risk Factors (5)
Brand impersonation of Meta on an unrelated hosting-platform subdomain
Urgency and threat of account disabling/permanent restriction
Appeal-code submission request consistent with a social-engineering lure
Deceptive use of Meta branding and privacy/account-review language
Shared hosting subdomain with unknown actual creation date
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'sp28ct-gunem-biz-zorel-ranek.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'sp28ct-gunem-biz-zorel-ranek'. Its registrable label 'pages' stretches across 5 characters split between 2 vowels and 3 consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp28ct-gunem-biz-zorel-ranek.pages.dev/send_appeal_request

Another page of the site in scan c022e224

Page Load Overview

0.50s
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
2172.66.47.136Cloudflare · 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.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.44.120Cloudflare · 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