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Security Scan Report: burldstevensonc.pages.dev

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Submitted: Jan 8, 2026, 4:05:03 AMCompleted: Jan 8, 2026, 4:06:28 AMpubliccompleted
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Summary

This website contacted 18 IPs in 2 countries across 18 domains to perform 1 HTTP transaction. The main domain is burldstevensonc.pages.dev and was registered NaN years ago.

Submitted URL: https://burldstevensonc.pages.dev/rdutm-social-security-tax-2025-limit-2025-nbgak/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Domain is well established (≈5.3 years old)
No malicious Indicators of Compromise matches found
No credential or payment collection forms present
Hosted on standard web hosting (pages.dev) with no suspicious redirections
Domain age information unavailable

Details

Page Title

Social Security Tax 2025 Limit 2025 - Burl D Stevenson

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(38%)

Domain Information

The domain name 'burldstevensonc.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'burldstevensonc'. Count 5 characters in 'pages' containing two vowels alongside three consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://burldstevensonc.pages.dev/rdutm-social-security-tax-2025-limit-2025-nbgak/

Page Load Overview

8.15s
Total Load Time
43
HTTP Requests
18
Domains
1.4 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:3,313 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
38%
news/blog
35%
adult content
31%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9167.114.50.130Montreal, Quebec, Canada
AS16276OVH SAS
2188.114.97.3United States
AS13335CLOUDFLARENET
218.66.122.122Canada
AS8075
2172.66.44.81United States
AS13335CLOUDFLARENET
2192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
2172.67.180.98United States
AS13335CLOUDFLARENET
2142.250.185.163Unknown
AS13335
292.113.16.243Unknown
AS16509
2104.26.15.73Unknown
AS47583
2150.171.27.10UnknownUnknown
4318--

Detected Technologies13

WordPressv6.7.1
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv6.7.1
100%
PHP
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Gravatar
30%
Statcounter
20%
Drupal
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D33093250FC1433261FA3E996A57B0DF9A5A516CD034E6232FC26686FC4DF345A709E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xhapGTWa3rZOOden0AZuvq9fyQfuLkQdlurHiYorJYgKhy:xAoTh3ySb0HBmJTKhy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52362:USQAnIamMkMZAQwAgJiocsRIZpACEAKoixVoIDOAHHixQtjl2IBJAggSoOAEkCGAUyAHhoEw4IJFCDgNHCCXEhEYgaoJ8eSA

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:ffffffdf81818181
Perceptual Hash:a99496693cd2c33d
Difference Hash:223a102313130b3b
Wavelet Hash:ffffcf8181818181
Color Hash:#2dd28d

Other Hashes

Crop Resistant:223a102313130b3b,861b3921796137c8,629392929c9cda92

Scan History

Scan history not available

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