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Security Scan Report: carolsbartelts.pages.dev

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Submitted: Jan 9, 2026, 5:28:08 PMCompleted: Jan 9, 2026, 5:30:05 PMpubliccompleted
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Summary

This website contacted 18 IPs in 3 countries across 16 domains to perform 28 HTTP transactions. The main domain is carolsbartelts.pages.dev and was registered NaN years ago.

Submitted URL: https://carolsbartelts.pages.dev/vzjqm-social-security-limit-2025-salary-over-65-pzmjv/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>5 years)
No malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Social Security Limit 2025 Salary Over 65 - Carol S Bartelt

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(81%)

Domain Information

The domain name 'carolsbartelts.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'carolsbartelts'. The core label 'pages' covers 5 characters holding 2 vowels versus 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://carolsbartelts.pages.dev/vzjqm-social-security-limit-2025-salary-over-65-pzmjv/

Page Load Overview

46.74s
Total Load Time
42
HTTP Requests
16
Domains
1.2 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:2,738 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service81% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
81%
adult content
70%
blog personal website
70%
healthcare medical
64%
news media journalism
59%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
818.66.122.19Canada
AS15169
2104.26.15.73Germany
AS8075
2136.243.106.228Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
223.36.163.23Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.250.185.195United States
AS15169GOOGLE
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2172.66.1.220Unknown
AS16509
2104.21.18.46United States
AS13335CLOUDFLARENET
218.66.122.122UnknownUnknown
2104.20.23.96UnknownUnknown
4218--

Detected Technologies11

WordPressv6.5.5
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
OWL Carousel
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D053E9E2509521366D1787E693CC261CA9399E23CE024E69B1BE11195FC2FF913A733F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3MVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIwap7JgkpQ8qxS/9m3QSjtzqpC/irQVX:ztXSjtzqpC/irQx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60765:DNcIBEK7UxSkMBQqABAHL7F6gggoAASYNBAJElItMAJAcctqBhhB6VAIAQAMhSRRN2REAaEAkWnuEQCVJKKwSWUJFBlwAF5D

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:e7ffcfcb87878787
Perceptual Hash:bcc3c73434cf2730
Difference Hash:0c193b3b2f2f2f2e
Wavelet Hash:e7ff818b83838383
Color Hash:#87c5a9

Other Hashes

Crop Resistant:0c193b3b2f2f2f2e

Scan History

Scan history not available

Unable to load historical scan data