Security Scan Report: johnjwithersj.pages.dev

Submitted: Nov 15, 2025, 7:18:17 PMCompleted: Nov 15, 2025, 7:20:00 PMpubliccompleted
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Summary

This website contacted 42 IPs in 0 countries across 13 domains to perform 36 HTTP transactions. The main domain is johnjwithersj.pages.dev.

Submitted URL: https://johnjwithersj.pages.dev/bslhs-social-security-withholding-2025-max-lekaren-yaldd/

AI Security Verdict

Low Risk

Confidence: 72%

4
Risk Score

Informational site with brand impersonation; not overtly malicious but warrants caution.

Risk Factors
Brand impersonation of a government agency on an unranked domain
Domain appears to be newly registered and lacks reputation
Safety Factors
No credential or payment forms detected
No malicious Indicators of Compromise matches found
No hidden or disguised password fields
Domain age information unavailable

Details

Page Title

Social Security Withholding 2025 Max Lekaren - John J Withers

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(64%)

Domain Information

You're looking at domain 'johnjwithersj.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'johnjwithersj'. The second-level label 'pages' is 5 characters long holding 2 vowels versus 3 consonants. Word splitting yields one word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://johnjwithersj.pages.dev/bslhs-social-security-withholding-2025-max-lekaren-yaldd/

Page Load Overview

81.92s
Total Load Time
36
HTTP Requests
13
Domains
757 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:3,160 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
64%
government public service
62%
healthcare medical
50%
blog personal website
49%
news media journalism
37%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
018.172.112.32UnknownUnknown
0188.114.96.3UnknownUnknown
0172.66.136.209UnknownUnknown
0188.114.97.3UnknownUnknown
0167.114.50.130UnknownUnknown
0199.115.115.102UnknownUnknown
023.53.42.248UnknownUnknown
0172.67.180.98UnknownUnknown
0150.171.28.10UnknownUnknown
0173.236.202.234UnknownUnknown
3642--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T190F2F933A0AD14773D1FD3D851A5332CA49AAA34CD028BB6B1F5A1289FD4DF601B365E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:jJZdapi4xEEotpfnqfl/w5sT4QnlZZzQFZXX:1apZxEEotpfnqfssT4QnlZZzQFVX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36559:EIcrVxACBchKEgQDJAdYrzADYQmkCAQGF1BEsoSehQq9KFBQg4OKQ+BSkoguBICQUYRIFUAQpGB+ARogBAKYnygABkgGoF55

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:8181879fdbcfffcf
Perceptual Hash:bd6e6b698485323a
Difference Hash:0b2b3f32331a3a1a
Wavelet Hash:8181859f8b8bcbcf
Color Hash:#e0946c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data