Summary
This website contacted 64 IPs in 3 countries across 18 domains to perform 59 HTTP transactions. The main domain is matthewyamadaq.pages.dev.
Submitted URL: https://matthewyamadaq.pages.dev/dypt-social-security-spousal-benefits-changes-2025-shhmp/
AI Security Verdict
Low Risk
Confidence: 72%
Site shows no active threats but low legitimacy and new domain warrant caution.
Safety Factors
Details
Page Title
Social Security Spousal Benefits Changes 2025 - Matthew Yamada Q.
Scan Type
public
Language
English
Category
government public service
(60%)Domain Information
Domain 'matthewyamadaq.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'matthewyamadaq'. Its registrable label 'pages' stretches across 5 characters holding two vowels versus three consonants. Segmentation suggests one 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 |
|---|---|---|---|
| 29 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 7 | 142.250.184.195 | United States | AS15169GOOGLE |
| 4 | 172.67.166.38 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.184.246 | United States | AS15169GOOGLE |
| 1 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 1 | 136.243.106.228 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 1 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 1 | 3.147.203.141 | Columbus, Ohio, United States | AS16509AMAZON-02 |
| 1 | 172.66.169.241 | United States | AS13335CLOUDFLARENET |
| 59 | 64 | - | - |
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
Other Hashes
Scan History
Scan history not available
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