Summary
This website contacted 35 IPs in 3 countries across 15 domains to perform 38 HTTP transactions. The main domain is daviddvelazquezp.pages.dev and was registered NaN years ago.
Submitted URL: https://daviddvelazquezp.pages.dev/hwdtd-social-security-benefits-payment-calendar-2025-mbmva/
AI Security Verdict
Safe Website
Confidence: 92%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Social Security Benefits Payment Calendar 2025 - David D Velazquez
Scan Type
public
Language
English
Category
government public service
(38%)Domain Information
The domain 'daviddvelazquezp.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'daviddvelazquezp'. The second-level label 'pages' is 5 characters long holding 2 vowels versus 3 consonants. Word splitting yields 1 word: pages. 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 |
|---|---|---|---|
| 4 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.221.15 | United States | AS13335CLOUDFLARENET |
| 1 | 208.40.244.65 | Indianapolis, Indiana, United States | AS17054EXPEDIENT |
| 1 | 192.185.5.168 | United States | AS19871NETWORK-SOLUTIONS-HOSTING |
| 1 | 209.59.168.98 | United States | AS32244LIQUIDWEB |
| 1 | 34.111.20.87 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 104.21.70.147 | United States | AS13335CLOUDFLARENET |
| 1 | 216.58.206.65 | United States | AS15169GOOGLE |
| 1 | 46.229.172.197 | Netherlands | AS39572DataWeb Global Group B.V. |
| 1 | 172.66.47.5 | United States | AS13335CLOUDFLARENET |
| 38 | 35 | - | - |
Detected Technologies8
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
Scan History
Scan history not available
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