Summary
API
This website contacted 8 IPs in 4 countries across 5 domains to perform 11 HTTP transactions. The main domain is login.microsoftonline.com and was registered 31 years ago.
Submitted URL: https://ne-lms.365.systems
Effective URL:
The Cisco Umbrella rank of the primary domain is #96,220 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Official Microsoft login page reached via legitimate OAuth SSO. No phishing, malware, or credential-harvesting evidence found.
Safety Factors
Details
Page Title
Sign in to your account
Scan Type
public
Domain Name Analysis
Domain 'ne-lms.365.systems' uses the .systems top-level domain with subdomain 'ne-lms'. The core label '365' covers 3 characters holding 0 vowels versus zero consonants, along with 3 digits. Tokenizing the label suggests 1 word: 365. 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 |
|---|---|---|---|
| 4 | 20.190.159.73Office365 · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 1 | 150.171.110.52Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 1 | 13.107.246.44Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 1 | 20.190.160.2Office365 · CLOUD | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 1 | 40.126.31.71Office365 · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 1 | 20.190.159.64Azure · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 1 | 23.207.210.132Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 40.126.32.76Office365 · CLOUD | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 11 | 8 | - | - |
Detected Technologies9
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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