Summary
This website contacted 35 IPs in 3 countries across 10 domains to perform 35 HTTP transactions. The main domain is donmdiazm.pages.dev.
Submitted URL: https://donmdiazm.pages.dev/bmasg-social-security-tax-max-2025-hvksv/
AI Security Verdict
Low Risk
Confidence: 80%
Site appears informational with no malicious activity, but its new, unranked domain suggests exercising caution.
Safety Factors
Details
Page Title
Social Security Tax Max 2025 - Don M Diaz
Scan Type
public
Language
English
Category
corporate
(35%)Domain Information
Within the developer-focused generic top-level domain (.dev), 'donmdiazm.pages.dev' is registered with subdomain 'donmdiazm'. The core label 'pages' covers 5 characters containing two vowels alongside 3 consonants. It segments into 1 word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 17 | 172.66.44.206 | United States | AS13335CLOUDFLARENET |
| 2 | 172.64.149.94 | United States | AS13335CLOUDFLARENET |
| 2 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 146.75.122.62 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 23.185.0.1 | United States | AS54113FASTLY |
| 1 | 172.66.47.50 | United States | AS13335CLOUDFLARENET |
| 1 | 167.114.50.130 | Montreal, Quebec, Canada | AS16276OVH SAS |
| 1 | 172.67.69.83 | United States | AS13335CLOUDFLARENET |
| 1 | 172.66.1.220 | United States | AS13335CLOUDFLARENET |
| 1 | 104.21.18.46 | United States | AS13335CLOUDFLARENET |
| 35 | 35 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data