Security Scan Report: charlacthompsonv.pages.dev

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Submitted: Dec 27, 2025, 3:50:05 PMCompleted: Dec 27, 2025, 3:50:27 PMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 18 domains to perform 59 HTTP transactions. The main domain is charlacthompsonv.pages.dev and was registered NaN years ago.

Submitted URL: https://charlacthompsonv.pages.dev/bbbdu-social-security-cola-in-2025-suhcp/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain with a long registration history
No suspicious forms or data collection fields
Domain age information unavailable

Details

Page Title

Social Security Cola In 2025 - Charla C Thompson

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(54%)

Domain Information

Domain 'charlacthompsonv.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'charlacthompsonv'. The registrable portion 'pages' spans 5 characters split between 2 vowels and 3 consonants. Word splitting yields 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://charlacthompsonv.pages.dev/bbbdu-social-security-cola-in-2025-suhcp/

Page Load Overview

3.92s
Total Load Time
50
HTTP Requests
17
Domains
1.5 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:4,490 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service54% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
54%
adult content
40%
social media network
37%
healthcare medical
37%
news media journalism
36%

Detected Features

Search
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14142.250.185.86Germany
3192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
3188.114.97.3United States
AS13335CLOUDFLARENET
3104.18.38.162Germany
3172.67.180.98United States
AS13335CLOUDFLARENET
3104.20.23.96United States
AS13335CLOUDFLARENET
323.36.162.218Germany
3142.250.185.195GermanyUnknown
3172.66.169.241United States
AS13335CLOUDFLARENET
3150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
5013--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17F232A36A2DD10373A4F83D9A572730CE6BE9634CA034E6E75F8A1189BC4EFA416714D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:eZdapF4nsEfT4ZBrKtUNEz5j56vF6T9KoayCQDygBQsNLJCv6v:eapjEfT4/rK2NENj56vF6playCQDTQs1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47548:GVsILPCDIVCAAii6ASmGmclSCKQAwUt2AQIMBuAABwiCbYDKjQEABLISTJoBrwISoaQhRJbBopC8UljgBwOgBgVQ8AJCTDGU

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:000000ffffffffff
Perceptual Hash:ae423ef0bfc03e41
Difference Hash:b5a1c10b362e233f
Wavelet Hash:00000081ffffff9f
Color Hash:#aabf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data