Summary
This website contacted 65 IPs in 3 countries across 9 domains to perform 10 HTTP transactions. The main domain is reduced-gray-jrrxcfdni9-i9vl1gh50c.edgeone.app.
Submitted URL: https://reduced-gray-jrrxcfdni9-i9vl1gh50c.edgeone.app/
The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 75%
Site shows no direct malicious behavior but is newly registered and low‑ranked, so treat as low‑risk.
Safety Factors
Details
Page Title
MochiMelt - Jual Beli Mochi Online
Scan Type
public
Language
ID
Category
entertainment media
(85%)Domain Information
The domain name 'reduced-gray-jrrxcfdni9-i9vl1gh50c.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'reduced-gray-jrrxcfdni9-i9vl1gh50c'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. Breaking it apart gives 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 |
|---|---|---|---|
| 2 | 43.152.26.58 | Singapore | AS139341ACE |
| 1 | 104.21.4.55 | United States | AS13335CLOUDFLARENET |
| 1 | 104.18.16.214 | United States | AS13335CLOUDFLARENET |
| 1 | 172.64.150.187 | United States | AS13335CLOUDFLARENET |
| 1 | 104.18.21.177 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.184.214 | United States | AS15169GOOGLE |
| 1 | 52.222.236.122 | United States | AS16509AMAZON-02 |
| 1 | 108.138.7.115 | United States | AS16509AMAZON-02 |
| 1 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 0 | 104.18.37.69 | United States | AS13335CLOUDFLARENET |
| 10 | 65 | - | - |
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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