Summary
This website contacted 19 IPs in 4 countries across 18 domains to perform 46 HTTP transactions. The main domain is bobbyfvaughnf.pages.dev and was registered NaN years ago.
Submitted URL: https://bobbyfvaughnf.pages.dev/iymyg-social-security-payment-schedule-2025-dates-2025-ytfkg/
AI Security Verdict
High Risk
Confidence: 92%
High‑risk phishing site impersonating Social Security; do not trust or provide personal information.
Risk Factors
Details
Page Title
Social Security Payment Schedule 2025 Dates 2025 - Bobby F. Vaughn
Scan Type
public
Language
English
Category
news/blog
(70%)Domain Information
The domain name 'bobbyfvaughnf.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'bobbyfvaughnf'. The registrable portion 'pages' spans 5 characters holding two vowels versus three consonants. Breaking it apart gives 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 |
|---|---|---|---|
| 10 | 104.16.151.108 | United States | AS13335CLOUDFLARENET |
| 2 | 216.58.209.195 | United States | AS15169GOOGLE |
| 2 | 156.247.118.39 | Seychelles | AS9294GNET INC. |
| 2 | 172.66.44.187 | United States | AS13335CLOUDFLARENET |
| 2 | 173.236.141.159 | United States | AS26347DREAMHOST-AS |
| 2 | 108.167.156.41 | Ashburn, Virginia, United States | AS31898ORACLE-BMC-31898 |
| 2 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 172.67.180.98 | United States | AS13335CLOUDFLARENET |
| 2 | 104.21.18.46 | United States | AS13335CLOUDFLARENET |
| 2 | 199.232.173.140 | Stockholm, Stockholm County, Sweden | AS54113FASTLY |
| 46 | 19 | - | - |
Detected Technologies7
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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