Summary
API
This website contacted 2 IPs in 1 country across 1 domain to perform 41 HTTP transactions. The main domain is nova-mn2n91902o.pages.dev and was registered 6 years ago.
Submitted URL: https://nova-mn2n91902o.pages.dev/ja-jp/about
AI Security Verdict
Low Risk
Confidence: 55%
Informational Cloudflare Speed Test FAQ page on an unofficial pages.dev subdomain. Claims Cloudflare branding but has no forms, no credential/payment capture, and no Indicators of Compromise, YARA or IDS hits — brand-reference risk only.
Risk Factors
Safety Factors
Details
Page Title
Cloudflare Speed Test について | Cloudflare
Scan Type
public
Domain Name Analysis
The domain 'nova-mn2n91902o.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'nova-mn2n91902o'. The core label 'pages' covers 5 characters with 2 vowels and 3 consonants. Breaking it apart gives 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 |
|---|---|---|---|
| 21 | 188.114.96.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 20 | 188.114.97.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 41 | 2 | - | - |
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