Security Scan Report: franceswjohnstonj.pages.dev

Submitted: Nov 16, 2025, 3:04:25 AMCompleted: Nov 16, 2025, 3:05:02 AMpubliccompleted
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Summary

This website contacted 64 IPs in 0 countries across 18 domains to perform 47 HTTP transactions. The main domain is franceswjohnstonj.pages.dev.

Submitted URL: https://franceswjohnstonj.pages.dev/zcbwg-social-security-2025-cola-increase-news-omptb/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate informational page with no security concerns.

Safety Factors
Informational page only
No collection of sensitive personal data
Domain age information unavailable

Details

Page Title

Social Security 2025 Cola Increase News - Frances W Johnston

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(47%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'franceswjohnstonj.pages.dev' is registered with subdomain 'franceswjohnstonj'. Its registrable label 'pages' stretches across 5 characters with two vowels and 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://franceswjohnstonj.pages.dev/zcbwg-social-security-2025-cola-increase-news-omptb/

Page Load Overview

21.30s
Total Load Time
47
HTTP Requests
18
Domains
1023 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:5,543 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
47%
government public service
40%
adult content
36%
corporate
35%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
47142.250.181.234UnknownUnknown
0188.114.97.3UnknownUnknown
0184.25.50.113UnknownUnknown
0192.0.77.2UnknownUnknown
0142.250.186.99UnknownUnknown
0142.250.186.182UnknownUnknown
0142.250.74.214UnknownUnknown
0188.114.96.3UnknownUnknown
0172.66.47.180UnknownUnknown
0184.24.77.11UnknownUnknown
4764--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C43F9A751952A313FCAE3E5AD563284FE56D434D20109763CB44AAC87D8DEF222B34F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nWSWGWsWyapqTInfXQNijGUgY9acpSY1hKLcmdtY9o1Ydo0jGT8ysPnpXbPJjgUC:kITkANijGUZJUUV5+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:59598:rAADChgAiREIMAiYulWyDA0cABAKQwRxoRBdgReBDIAHhlCM/gYAflgqQAIaTQFmkwoBFsIRkhChBhQAyhgzCGCYAFCzYBkY

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:ffff87878787ffff
Perceptual Hash:ba99cd623e8d3624
Difference Hash:2a1b3e3f2f0f323a
Wavelet Hash:df87838383838b8f
Color Hash:#e0946c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data