Summary
This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is unwilling-coffee-5jxqwm2zho-ttjn53cbax.edgeone.app and was registered NaN years ago.
Submitted URL: https://unwilling-coffee-5jxqwm2zho-ttjn53cbax.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: 99%
AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.
Safety Factors
Details
Page Title
给宝宝的第一百天
Scan Type
public
Language
Chinese
Category
blog personal website
(54%)Domain Information
The domain 'unwilling-coffee-5jxqwm2zho-ttjn53cbax.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'unwilling-coffee-5jxqwm2zho-ttjn53cbax'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. Tokenizing the label suggests 2 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 |
| 2 | 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