Summary
This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is hkg23prdapp02-canary-opaph.netmon.azure.com and was registered NaN years ago.
Submitted URL: https://hkg23prdapp02-canary-opaph.netmon.azure.com
The Cisco Umbrella rank of the primary domain is #103 of the top 1 million websitesTop 1K Site
AI Security Verdict
Safe Website
Confidence: 95%
AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #103.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(85%)Domain Information
You're looking at domain 'hkg23prdapp02-canary-opaph.netmon.azure.com' on the commercial generic top-level domain (.com) with subdomain 'hkg23prdapp02-canary-opaph.netmon'. Its registrable label 'azure' stretches across 5 characters split between 3 vowels and two consonants. Breaking it apart gives one word: azure. The median word length lands at 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 | 4.252.185.71 | Hong Kong, Hong Kong | AS8075Microsoft Corporation |
| 2 | 1 | - | - |
Detected Technologies2
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