Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 8 HTTP transactions. The main domain is nova-dev-studios.pages.dev and was registered 6 years ago.
Submitted URL: https://nova-dev-studios.pages.dev/beta
AI Security Verdict
Moderate Risk
Confidence: 78%
The page only gathers an email address on an unranked, age‑unknown subdomain; no malicious activity detected, but caution is advised.
Risk Factors
Safety Factors
Details
Page Title
Join the Beta - NovaDeck
Scan Type
public
Language
English
Category
technology software
(83%)Domain Information
You're looking at domain 'nova-dev-studios.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'nova-dev-studios'. Count 5 characters in 'pages' split between 2 vowels and 3 consonants. It segments into 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 |
|---|---|---|---|
| 4 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 142.251.127.94Google · CDN | United States | AS15169Google LLC |
| 2 | 142.251.110.95Google · CDN | United States | AS15169Google LLC |
| 8 | 3 | - | - |
Page Statistics
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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