Security Scan Report: mackgstella.pages.dev

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Submitted: Nov 27, 2025, 4:42:32 PMCompleted: Nov 27, 2025, 4:47:27 PMpubliccompleted
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Summary

This website contacted 58 IPs in 4 countries across 18 domains to perform 46 HTTP transactions. The main domain is mackgstella.pages.dev.

Submitted URL: https://mackgstella.pages.dev/ybvcp-social-security-limit-2025-increase-schedule-tvdap/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Social Security Limit 2025 Increase Schedule - Mack G Stella

Scan Type

public

Language

๐Ÿ‡บ๐Ÿ‡ธ

English

(80% confidence)

Category

government public service

(41%)

Domain Information

The domain 'mackgstella.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'mackgstella'. The second-level label 'pages' is 5 characters long split between two vowels and three consonants. Tokenizing the label suggests 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mackgstella.pages.dev/ybvcp-social-security-limit-2025-increase-schedule-tvdap/

Page Load Overview

1.21s
Total Load Time
46
HTTP Requests
18
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

๐Ÿ‡บ๐Ÿ‡ธEnglish
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:2,420 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service41% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
41%
corporate
35%
adult content
27%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23172.66.47.49United States
AS13335CLOUDFLARENET
4142.250.181.227United States
AS15169GOOGLE
2172.66.136.209United States
AS13335CLOUDFLARENET
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2142.250.186.74United States
AS15169GOOGLE
2172.67.166.38United States
AS13335CLOUDFLARENET
118.66.122.122United States
AS16509AMAZON-02
1172.66.43.121United States
AS13335CLOUDFLARENET
1108.138.26.115United States
AS16509AMAZON-02
1136.243.106.228Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
4658--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T123E20A3251AC04773A5F93ED94A5732CB998F611CA028B7671F4B1689BC8EF741B360E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:7liTiTxi1Kiwci/z5ORXdaZdapNfzcTcaOPVC4i8IKy/C2G6xYE+YG+Zs:7liTiTxi1Kiwci/9OVdiappITcaOPVCA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33810:R+MNOxhFBQKCQuB8mHI5FIGoljEANBIUJQEDimIACQQroAmYJBDohKEsFKsQDBhAz+okCuEAAApADjVwwikEpIWA+WCkcCoC

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:00ffc3ffffff0301
Perceptual Hash:af502f154b27493d
Difference Hash:c336374500464753
Wavelet Hash:008381ffffff0301
Color Hash:#2d8633

Other Hashes

Scan History

Scan history not available

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