Summary
This website contacted 4 IPs in 2 countries across 7 domains to perform 151 HTTP transactions. The main domain is explorer-dapp.pages.dev and was registered NaN years ago.
Submitted URL: http://explorer-dapp.pages.dev/
Effective URL: https://explorer-dapp.pages.dev/Redirected
AI Security Verdict
Safe Website
Confidence: 88%
No suspicious activity detected; site appears legitimate.
Safety Factors
Details
Page Title
Dapp Protocol
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(80%)Domain Information
The domain 'explorer-dapp.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'explorer-dapp'. The second-level label 'pages' is 5 characters long with 2 vowels and three consonants. Breaking it apart gives 1 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 |
|---|---|---|---|
| 40 | 172.66.47.15 | United States | AS13335Cloudflare, Inc. |
| 37 | 20.4.130.154 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 37 | 104.18.42.227 | United States | AS13335Cloudflare, Inc. |
| 37 | 216.58.206.74 | Netherlands | Unknown |
| 151 | 4 | - | - |
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