Summary
This website contacted 16 IPs in 2 countries across 17 domains to perform 1 HTTP transaction. The main domain is amyscerrix.pages.dev and was registered NaN years ago.
Submitted URL: https://amyscerrix.pages.dev/yhmfa-social-security-pay-calendar-2025-wmuvj
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate site with no apparent security concerns.
Safety Factors
Details
Page Title
Social Security Pay Calendar 2025 - Amy Scerri
Scan Type
public
Language
English
Category
entertainment media
(80%)Domain Information
The domain name 'amyscerrix.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'amyscerrix'. The registrable portion 'pages' spans 5 characters with two vowels and three consonants. Word splitting yields one word: pages. Median word length comes out to 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 |
|---|---|---|---|
| 6 | 99.84.152.2 | Germany | |
| 2 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 2 | 216.177.130.27 | United States | AS3955321P-WSS |
| 2 | 104.21.69.200 | United States | AS13335CLOUDFLARENET |
| 2 | 172.66.47.19 | United States | AS13335CLOUDFLARENET |
| 2 | 172.240.253.132 | Germany | |
| 2 | 3.174.46.76 | Germany | |
| 2 | 104.18.37.127 | Germany | Unknown |
| 2 | 172.66.172.114 | United States | AS13335CLOUDFLARENET |
| 2 | 23.36.162.215 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 36 | 16 | - | - |
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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