Security Scan Report: sgenemakayla.pages.dev

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Submitted: Dec 10, 2025, 8:00:45 PMCompleted: Dec 10, 2025, 8:01:23 PMpubliccompleted
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Summary

This website contacted 31 IPs in 3 countries across 15 domains to perform 35 HTTP transactions. The main domain is sgenemakayla.pages.dev.

Submitted URL: https://sgenemakayla.pages.dev/zyyst-social-security-payment-schedule-2025-january-6th-dubgw/

AI Security Verdict

High Risk

Confidence: 88%

9
Risk Score

High‑risk phishing page impersonating Apple; do not trust.

Risk Factors
Brand impersonation / typosquatting on an unranked, newly‑registered domain
Lack of legitimate brand verification (final URL differs from brand)
Suspicious content claiming official Social Security payment schedule
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 January 6th - S Gene Makayla

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain 'sgenemakayla.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'sgenemakayla'. The registrable portion 'pages' spans 5 characters with 2 vowels and three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sgenemakayla.pages.dev/zyyst-social-security-payment-schedule-2025-january-6th-dubgw/

Page Load Overview

18.20s
Total Load Time
35
HTTP Requests
15
Domains
1.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:2,802 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
government public service
27%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
546.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
1108.167.156.41Ashburn, Virginia, United States
AS19871NETWORK-SOLUTIONS-HOSTING
1188.114.97.3United States
AS13335CLOUDFLARENET
1142.250.185.193United States
AS15169GOOGLE
1104.20.23.96United States
AS13335CLOUDFLARENET
1172.66.169.241United States
AS13335CLOUDFLARENET
1192.185.5.168United States
AS19871NETWORK-SOLUTIONS-HOSTING
1104.196.233.173The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
1150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3531--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D031A32A2B910363A5FC3ECC5957728BDA8D216C6035B7675FC62A45FC1CFA01A760E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:L5UZdapNXGCg4kYkxtSg4kYkKPXtTTKTka2D8Awx1WZC:6apRTPtTTqAD8Awx1Wg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39965:JxQwCYkW0Iu3EACH1AUOwgA+WJ8hCSZHHmEWAQoSSA6gkR9ICIcwLDKAEEAGEyABpDCgYhEkDw0sYAIaTKASaQEADoBDDAQF

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:9e00dbcbc7c3c3c3
Perceptual Hash:b8cf161690c9e9b6
Difference Hash:302c233b0f0f0f0f
Wavelet Hash:9e00dbc3c3c3c3c7
Color Hash:#9d53ac

Other Hashes

Crop Resistant:302c233b0f0f0f0f

Scan History

Scan history not available

Unable to load historical scan data