Summary
This website contacted 22 IPs in 2 countries across 8 domains to perform 31 HTTP transactions. The main domain is dotnet.microsoft.com and was registered NaN years ago.
Submitted URL: https://dotnet.microsoft.com/en-us/download/dotnet/5.0
The Cisco Umbrella rank of the primary domain is #2 of the top 1 million websitesTop 100 Site
AI Security Verdict
Safe Website
Confidence: 98%
The page is legitimate and poses no security risk.
Safety Factors
Details
Page Title
Download .NET 5.0 (Linux, macOS, and Windows) | .NET
Scan Type
public
Language
English
Category
technology software
(88%)Domain Information
The domain name 'dotnet.microsoft.com' uses the commercial generic top-level domain (.com), featuring subdomain 'dotnet'. Its registrable label 'microsoft' stretches across 9 characters containing 3 vowels alongside six consonants. Breaking it apart gives one word: microsoft. The linguistic tilt is Chinese (Zhuyin) for 'fnmicrosoft'. Usage also turns up in Danish and German contexts.
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 |
|---|---|---|---|
| 10 | 20.9.155.145 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 23.32.97.216 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 23.197.128.15 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 2.18.64.214 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 13.107.253.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 13.107.226.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 2a02:26f0:3500:594::2b57 | Unknown | Unknown |
| 1 | 2620:1ec:48:1::44 | Unknown | Unknown |
| 1 | 2a02:26f0:3500:58a::356e | Unknown | Unknown |
| 1 | 2a02:26f0:3500:58d::356e | Unknown | Unknown |
| 31 | 22 | - | - |
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
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