Security Scan Report: kobyhoutmanz.pages.dev

Submitted: Dec 13, 2025, 10:06:37 PMCompleted: Dec 13, 2025, 10:06:59 PMpubliccompleted
Loading additional data...

Summary

This website contacted 71 IPs in 3 countries across 17 domains to perform 38 HTTP transactions. The main domain is kobyhoutmanz.pages.dev and was registered NaN years ago.

Submitted URL: https://kobyhoutmanz.pages.dev/mmbzo-social-security-withholding-percentage-2025-vlsnu

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Social Security Withholding Percentage 2025 - Koby Houtman

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(57%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'kobyhoutmanz.pages.dev' is registered with subdomain 'kobyhoutmanz'. The registrable portion 'pages' spans 5 characters split between two vowels and three consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kobyhoutmanz.pages.dev/mmbzo-social-security-withholding-percentage-2025-vlsnu

Page Load Overview

7.07s
Total Load Time
38
HTTP Requests
17
Domains
1.7 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:3,386 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
57%
government public service
49%
corporate
35%
adult content
34%
travel tourism
30%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
38104.26.9.183United States
AS13335CLOUDFLARENET
0146.75.121.55Frankfurt am Main, Hesse, Germany
AS54113FASTLY
0150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0188.114.96.3United States
AS13335CLOUDFLARENET
0172.67.198.51United States
AS13335CLOUDFLARENET
0192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
0167.114.50.130Montreal, Quebec, Canada
AS16276OVH SAS
0172.66.1.220United States
AS13335CLOUDFLARENET
0188.114.97.3United States
AS13335CLOUDFLARENET
0172.240.127.242United States
AS7979SERVERS-COM
3871--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0F2F93364AD15363E6F83DC81957328B9ADEA30CA039BB171F561289F98DF640B351E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ikrZdap6s8BBI0JxLqxVH9RJiNZWcC5PON6PCTEsZ5WJ:Rap58BBI0JxLqxVH9RJHcKP46PCTEsrc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37030:EEhQZVICCQwmwVsJ+sAODAAaKgTOERmBU2FjPHFGCJJDIZ5EACDspFhVFEihASakADCBAQWuwiChoMCkATcYTKK1UpABOLgA

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:ffffff87878787ff
Perceptual Hash:b6c1c336c13ec959
Difference Hash:0c0d3b2f2f2f2f76
Wavelet Hash:e7ef838383838387
Color Hash:#d279a1

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data