Security Scan Report: jameslunderwood.pages.dev

Submitted: Dec 11, 2025, 10:39:47 PMCompleted: Dec 11, 2025, 10:40:06 PMpubliccompleted
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Summary

This website contacted 47 IPs in 3 countries across 14 domains to perform 36 HTTP transactions. The main domain is jameslunderwood.pages.dev and was registered NaN years ago.

Submitted URL: https://jameslunderwood.pages.dev/kpqah-social-security-taxable-income-limit-2025-mqryl/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age reduces suspicion
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Social Security Taxable Income Limit 2025 - James L. Underwood

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(40%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'jameslunderwood.pages.dev' is registered; it also runs on subdomain 'jameslunderwood'. The second-level label 'pages' is 5 characters long split between 2 vowels and 3 consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jameslunderwood.pages.dev/kpqah-social-security-taxable-income-limit-2025-mqryl/

Page Load Overview

3.06s
Total Load Time
36
HTTP Requests
14
Domains
858 KB
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:2,936 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
40%
corporate
35%
government public service
33%
technology software
26%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36108.138.26.115United States
AS16509AMAZON-02
0176.9.114.118Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
0172.66.169.241United States
AS13335CLOUDFLARENET
018.66.147.12United States
AS16509AMAZON-02
0172.67.212.207United States
AS13335CLOUDFLARENET
0199.60.103.226United States
AS209242Cloudflare London, LLC
0188.114.96.3United States
AS13335CLOUDFLARENET
0104.21.69.200United States
AS13335CLOUDFLARENET
0150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0104.26.5.18United States
AS13335CLOUDFLARENET
3647--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CDF2F93255AD18377A1F83D942E1732CB899B630DA024BB271F571289F88EF641B761F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:0PAONuROs3ZdqZUaAVkWjgh+/l/jBPOmBBXFUw9oTfjxKrwtOFOz7/NLq955kJ58:AErZdap6s8BBIf7/Zq9Sx0dDAzEsZ5WJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36584:cAFYADdICANCSDQD9DQJMBHbkBEghRPRJbzRhEbwRJAH2iICLF1IAAWESgBgAFRCyMIHCqE3sMSAsIBsgVCCjJh9BuAhEGAi

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:e7e7838383c38387
Perceptual Hash:be72c2e5b42c3c38
Difference Hash:0c0d3b3a1b372f2e
Wavelet Hash:e7cd838b83c38387
Color Hash:#631f93

Other Hashes

Crop Resistant:0c0d3b3a1b372f2e

Scan History

Scan history not available

Unable to load historical scan data