Security Scan Report: lindseyjhullj.pages.dev

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Submitted: May 4, 2026, 5:01:17 AMCompleted: May 4, 2026, 5:02:33 AMpubliccompleted
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Summary

This website contacted 12 IPs in 3 countries across 12 domains to perform 28 HTTP transactions. The main domain is lindseyjhullj.pages.dev and was registered NaN years ago.

Submitted URL: https://lindseyjhullj.pages.dev/aqrcz-social-security-max-taxable-earnings-2025-uk-psywy/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Moderate risk due to unknown subdomain age, unranked domain, and heavily obfuscated JavaScript, but no direct malicious indicators.

Risk Factors
Unknown subdomain age
Unranked domain reputation
Highly obfuscated JavaScript
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise detected
No JavaScript malware patterns matched
No network IDS alerts
Domain age information unavailable

Details

Page Title

Social Security Max Taxable Earnings 2025 Uk - Lindsey J. Hull

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain name 'lindseyjhullj.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'lindseyjhullj'. The second-level label 'pages' is 5 characters long with 2 vowels and 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lindseyjhullj.pages.dev/aqrcz-social-security-max-taxable-earnings-2025-uk-psywy/

Page Load Overview

2.04s
Total Load Time
31
HTTP Requests
13
Domains
1.3 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:3,240 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
government public service
26%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9176.9.114.118Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
2192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
2108.138.26.64United States
AS16509Amazon.com, Inc.
2104.198.108.103The Dalles, Oregon, United States
AS396982Google LLC
2172.66.47.120United States
AS13335Cloudflare, Inc.
218.66.122.11United States
AS16509Amazon.com, Inc.
2173.236.202.234United States
AS26347New Dream Network, LLC
2150.171.28.10United States
AS8075Microsoft Corporation
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.67.75.176United States
AS13335Cloudflare, Inc.
3112--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B043C9A7509521366D1B979543CD271C9938AE32CE034E6A72BE20185FC5FF913E722F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3MVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIEapjtTQmvUz10ncCN7ucLx4YtDFyOVX:P5604YtDFyOx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56001:GlQGCBYAZghyyAjVRIMhIE2SAwMyCYwAYJFACShMwyAQOIbzBcBgoUmCHMQK4SgkABHlYRAgBBSIiBAsCOYRThAVqokKQ0ig

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:0000ffcf8f9fdfdf
Perceptual Hash:b9424616b0e3e7ad
Difference Hash:8c33121b3b3b3b33
Wavelet Hash:0000cb8f8f8f9f9f
Color Hash:#783e3a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data