Summary
This website contacted 6 IPs in 2 countries across 6 domains to perform 30 HTTP transactions. The main domain is nyxaraloop.pages.dev and was registered NaN years ago.
Submitted URL: https://nyxaraloop.pages.dev/2025a112532/
AI Security Verdict
Details
Page Title
Cloudflare Rules Implementation for GitHub Pages Optimization
Scan Type
public
Language
English
Category
documentation technical
(84%)Domain Information
The domain 'nyxaraloop.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'nyxaraloop'. Count 5 characters in 'pages' split between 2 vowels and three consonants. It segments into one word: pages. Median word length is 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 |
|---|---|---|---|
| 5 | 151.101.65.229 | United States | AS54113FASTLY |
| 5 | 142.250.184.200 | United States | AS15169GOOGLE |
| 5 | 88.85.69.211 | Netherlands | AS35415Webzilla B.V. |
| 5 | 185.199.110.153 | United States | AS54113FASTLY |
| 5 | 172.240.108.76 | United States | AS7979SERVERS-COM |
| 5 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 0 | 6 | - | - |
Detected Technologies1
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
Unable to load historical scan data