Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 8 HTTP transactions. The main domain is accepted-aqua-sbgmbrebd2-mjonn7r2bf.edgeone.app and was registered NaN years ago.
Submitted URL: https://accepted-aqua-sbgmbrebd2-mjonn7r2bf.edgeone.app/
The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
No malicious activity detected; the site appears benign.
Safety Factors
Details
Page Title
当月亮在窗前升起
Scan Type
public
Language
Chinese
Category
unknown
(0%)Domain Information
Domain 'accepted-aqua-sbgmbrebd2-mjonn7r2bf.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'accepted-aqua-sbgmbrebd2-mjonn7r2bf'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. Tokenizing the label suggests two words: edge, one. Expect 3.5 characters per word on average. 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 |
|---|---|---|---|
| 2 | 43.152.26.58 | Singapore | AS139341ACE |
| 2 | 142.251.140.163 | Singapore | |
| 2 | 172.217.20.138 | Singapore | Unknown |
| 6 | 3 | - | - |
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