Summary
This website contacted 16 IPs in 1 country across 15 domains to perform 50 HTTP transactions. The main domain is jamesbsasaki-3ss.pages.dev and was registered NaN years ago.
Submitted URL: https://jamesbsasaki-3ss.pages.dev/xyom-social-security-deposit-dates-2025-calendar-btdoz/
AI Security Verdict
High Risk
Confidence: 85%
Site mimics Social Security on an unofficial domain, posing a high phishing risk.
Risk Factors
Details
Page Title
Social Security Deposit Dates 2025 Calendar - James B. Sasaki
Scan Type
public
Language
English
Category
government public service
(54%)Domain Information
Domain 'jamesbsasaki-3ss.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'jamesbsasaki-3ss'. The core label 'pages' covers 5 characters with 2 vowels and 3 consonants. Breaking it apart gives one word: pages. Median word length is 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 |
|---|---|---|---|
| 11 | 172.66.43.121 | United States | AS13335CLOUDFLARENET |
| 2 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 2 | 104.16.150.108 | United States | |
| 2 | 45.223.102.78 | United States | AS19551INCAPSULA |
| 2 | 172.66.44.147 | United States | AS13335CLOUDFLARENET |
| 2 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 2 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 192.185.5.168 | United States | AS19871NETWORK-SOLUTIONS-HOSTING |
| 2 | 172.66.40.135 | United States | Unknown |
| 2 | 104.21.11.140 | United States | AS13335CLOUDFLARENET |
| 41 | 16 | - | - |
Detected Technologies11
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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