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Security Scan Report: carolynjchristensenm.pages.dev

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Submitted: Nov 24, 2025, 12:27:40 AMCompleted: Nov 24, 2025, 12:28:54 AMpubliccompleted
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Summary

This website contacted 40 IPs in 2 countries across 14 domains to perform 39 HTTP transactions. The main domain is carolynjchristensenm.pages.dev.

Submitted URL: https://carolynjchristensenm.pages.dev/ftvzt-social-security-budget-2025-jwbir/

AI Security Verdict

Low Risk

Confidence: 80%

1
Risk Score

Site shows informational content with no evident malicious activity.

Safety Factors
No credential collection forms
No payment collection forms
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Social Security Budget 2025 - Carolyn J Christensen

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain 'carolynjchristensenm.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'carolynjchristensenm'. Its registrable label 'pages' stretches across 5 characters 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://carolynjchristensenm.pages.dev/ftvzt-social-security-budget-2025-jwbir/

Page Load Overview

0.91s
Total Load Time
39
HTTP Requests
14
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:2,772 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20172.66.44.174United States
AS13335CLOUDFLARENET
323.185.0.1United States
AS54113FASTLY
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1104.21.18.46United States
AS13335CLOUDFLARENET
1104.154.16.57Council Bluffs, Iowa, United States
AS396982GOOGLE-CLOUD-PLATFORM
1172.67.75.176United States
AS13335CLOUDFLARENET
1172.67.201.50United States
AS13335CLOUDFLARENET
1172.66.136.209United States
AS13335CLOUDFLARENET
118.245.86.97United States
AS16509AMAZON-02
1104.26.0.31United States
AS13335CLOUDFLARENET
3940--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A2F2093251E904777A5FC3D881927328B8A9E621CB079F7172F972649F95DF600B720E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:6QSONuXsC3ZdqZUaAekWVgh//l/WBgiVpDbC+ThbO55QPeZLqxmeIE5L6/HvNGfV:lQjZdapNiWeVqxmeIku/lU0h01qkZXx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36522:KcKNQbQrK0S7DLIOoJWwZJFmATKjECgoboCLQMUoAqhEWYqoVIlTJkgBqrDFhMIcCBsgKIUACEKEG4NoUkOYdhlEGAAbYKGi

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:000000009fffffff
Perceptual Hash:be43bce13c4398c3
Difference Hash:9179691329203e3f
Wavelet Hash:00000000ffffffff
Color Hash:#78753a

Other Hashes

Crop Resistant:9179691329203e3f,91f9376969277373,05a55192aab50d05

Scan History

Scan history not available

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