Summary
This website contacted 41 IPs in 5 countries across 45 domains to perform 1 HTTP transaction. The main domain is yelling-silver-xrfkr3fw58-iat0q3wq06.edgeone.app and was registered NaN years ago.
Submitted URL: https://yelling-silver-xrfkr3fw58-iat0q3wq06.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: 95%
No suspicious activity detected; site appears legitimate.
Safety Factors
Details
Page Title
栗子GOGO名古屋
Scan Type
public
Language
Korean
Category
unknown
(0%)Domain Information
The domain 'yelling-silver-xrfkr3fw58-iat0q3wq06.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'yelling-silver-xrfkr3fw58-iat0q3wq06'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. Splitting it apart reveals two words: edge, one. Median word length comes out to 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 |
|---|---|---|---|
| 11 | 172.67.134.189 | Taiwan | |
| 2 | 160.251.229.82 | Japan | AS58791GMO Internet Group, Inc. |
| 2 | 142.250.201.67 | United States | AS15169Google LLC |
| 2 | 188.114.96.3 | United States | AS13335Cloudflare, Inc. |
| 2 | 142.251.140.170 | United States | AS15169Google LLC |
| 2 | 104.16.174.226 | United States | AS13335Cloudflare, Inc. |
| 2 | 43.152.26.58 | Singapore | AS139341ACE |
| 2 | 162.43.122.199 | Japan | AS131965Xserver Inc. |
| 2 | 185.15.59.240 | United States | AS14907Wikimedia Foundation Inc. |
| 2 | 219.94.163.90 | Japan | AS9371SAKURA Internet Inc. |
| 91 | 41 | - | - |
Detected Technologies4
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
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