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Security Scan Report: marcusgreenhama.pages.dev

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Submitted: Dec 28, 2025, 2:34:47 AMCompleted: Dec 28, 2025, 2:35:03 AMpubliccompleted
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Summary

This website contacted 13 IPs in 1 country across 17 domains to perform 34 HTTP transactions. The main domain is marcusgreenhama.pages.dev and was registered NaN years ago.

Submitted URL: https://marcusgreenhama.pages.dev/oqiqq-social-security-limit-2025-increase-update-tyqdc/

AI Security Verdict

High Risk

Confidence: 95%

7
Risk Score

Site uses a malicious primary domain and impersonates Social Security; treat as high‑risk phishing.

Risk Factors
Malicious primary domain (pages.dev) flagged as malicious
Unranked domain with low reputation
Potential brand impersonation of Social Security on suspicious hosting
Domain age information unavailable

Details

Page Title

Social Security Limit 2025 Increase Update - Marcus Greenham

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(59%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'marcusgreenhama.pages.dev' is registered, featuring subdomain 'marcusgreenhama'. The registrable portion 'pages' spans 5 characters containing two vowels alongside 3 consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://marcusgreenhama.pages.dev/oqiqq-social-security-limit-2025-increase-update-tyqdc/

Page Load Overview

2.27s
Total Load Time
34
HTTP Requests
0
Domains
N/A
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:2,840 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
59%
blog personal website
38%
corporate
35%
adult content
31%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14188.114.96.3United States
AS13335CLOUDFLARENET
3142.250.185.163UnknownUnknown
2150.171.28.10UnknownUnknown
2142.250.186.138UnknownUnknown
2172.66.169.241UnknownUnknown
1192.0.66.204UnknownUnknown
1172.67.212.207UnknownUnknown
1172.240.127.242UnknownUnknown
118.66.122.19UnknownUnknown
1176.9.114.118UnknownUnknown
013--

Detected Technologies4

WordPressv6.4.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C3130A2291A414722F5FD3E995957324BD98F222C6024EB231FC62685FC9DFF05B760E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:7drZdap7hoYKaikMaxROR5wBifesXO/wY9/hmavIw1QLmoxYQZ5WJ:JapNGS0fesXO/wYXmavIw1QLmoxYQrWJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42351:AGKkXUsBBAUIgnIGk44gEvsSAiBEgLIAYJAZIgOE0G4FXdghkAxIzJwAEYIlsBIpRBKkAYNRAATFmLMUrQpAEKDlHAZdgAR0

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:e7e7081c3e3e0606
Perceptual Hash:93e3b6a6b41b4b48
Difference Hash:0cccfbb8f4ec2c1c
Wavelet Hash:e7e7381c1e3a1e06
Color Hash:#d22d6c

Other Hashes

Crop Resistant:0cccfbb8f4ec2c1c

Scan History

Scan history not available

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