Summary
This website contacted 1 IP in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is disappointed-yellow-1qk7uwej3f-upbt8iulch.edgeone.app and was registered NaN years ago.
Submitted URL: https://disappointed-yellow-1qk7uwej3f-upbt8iulch.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 indicators detected; site appears legitimate.
Safety Factors
Details
Page Title
よはな | YOHANA
Scan Type
public
Language
Japanese
Category
entertainment media
(62%)Domain Information
Within the application-focused generic top-level domain (.app), 'disappointed-yellow-1qk7uwej3f-upbt8iulch.edgeone.app' is registered; it also runs on subdomain 'disappointed-yellow-1qk7uwej3f-upbt8iulch'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. Tokenizing the label suggests 2 words: edge, one. The median word length lands at 3.5 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 |
|---|---|---|---|
| 6 | 43.152.26.58 | Singapore | AS139341ACE |
| 6 | 1 | - | - |
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