Security Scan Report: frederikkerasmussenj.pages.dev

Submitted: Dec 22, 2025, 8:19:05 PMCompleted: Dec 22, 2025, 8:19:18 PMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 16 domains to perform 50 HTTP transactions. The main domain is frederikkerasmussenj.pages.dev and was registered NaN years ago.

Submitted URL: https://frederikkerasmussenj.pages.dev/hatao-social-security-contribution-limit-2025-over-55-nwvbc/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Social Security Contribution Limit 2025 Over 55 - Frederikke J. Rasmussen

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(74%)

Domain Information

The domain 'frederikkerasmussenj.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'frederikkerasmussenj'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside 3 consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://frederikkerasmussenj.pages.dev/hatao-social-security-contribution-limit-2025-over-55-nwvbc/

Page Load Overview

N/A
Total Load Time
50
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:3,485 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
74%
government public service
70%
adult content
67%
finance banking
66%
technology software
64%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System

Detected Technologies4

WordPressv6.6.2
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

T16C130672449D05367A5F63D8A5E0B61CF6A66618CB024EBA32FC6010EF88EF645F711F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:eZWZdapzgpzTIZDS/dmYfzEK6DK1vKSKgKWvmkK17QQPKJC5lXDPAtOzHM7LYOk0:RapkTIQV4pI9rFOp5JSXMr5gJH6w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41525:EwgXGWqgCgWJAaINlCKGABSCsYG8B9EFwQWQmsY+MEkoEBFmWlGYIYBjT0SQ1GHKhpBFwQAxAiUYJjSVQjEKEgYEGijFDAEo

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data