Summary
This website contacted 14 IPs in 3 countries across 16 domains to perform 34 HTTP transactions. The main domain is josephhayashikp.pages.dev and was registered NaN years ago.
Submitted URL: https://josephhayashikp.pages.dev/aoik-social-security-pay-calendar-2025-gsnlz/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate personal site with no apparent security concerns.
Safety Factors
Details
Page Title
Social Security Pay Calendar 2025 - Joseph Hayashi K.P
Scan Type
public
Language
English
Category
entertainment media
(82%)Domain Information
Domain 'josephhayashikp.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'josephhayashikp'. Its registrable label 'pages' stretches across 5 characters with two vowels and three consonants. Splitting it apart reveals 1 word: pages. Average segment length settles at five 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 |
|---|---|---|---|
| 9 | 142.250.186.170 | United States | |
| 2 | 3.174.46.105 | Sweden | |
| 2 | 99.84.152.2 | Germany | |
| 2 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 2 | 142.251.141.67 | Unknown | |
| 2 | 216.177.130.27 | United States | AS3955321P-WSS |
| 2 | 142.251.141.118 | Unknown | |
| 2 | 23.36.162.200 | Unknown | Unknown |
| 2 | 172.66.47.151 | United States | AS13335CLOUDFLARENET |
| 2 | 104.26.1.222 | Unknown | Unknown |
| 35 | 14 | - | - |
Detected Technologies13
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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