Summary
API
Submitted URL: https://enterpriseenrollment.boavistascpc.com.br
AI Security Verdict
Safe Website
Confidence: 88%
Page resolves to Microsoft's real login.microsoftonline.com sign-in for Azure/Intune; the form posts to Microsoft itself and no malware, phishing or exfiltration signals were found.
Safety Factors (4)
Details
Page Title
Sign in to Microsoft Azure
Scan Type
public
Domain Name Analysis
Within the Brazilian country-code top-level domain (.com.br), 'enterpriseenrollment.boavistascpc.com.br' is registered with subdomain 'enterpriseenrollment'. Its registrable label 'boavistascpc' stretches across 12 characters containing 4 vowels alongside eight consonants. Tokenizing the label suggests 3 words: boavista, s, cpc. The median word length lands at three 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 |
|---|---|---|---|
| 10 | 20.190.159.68Office365 · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 1 | 20.91.147.72Azure · CLOUD | Sweden | AS8075Microsoft Corporation |
| 1 | 150.171.84.26Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 1 | 4.150.223.114Azure · CLOUD | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 1 | 20.190.159.71Office365 · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 1 | 13.107.246.44Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 1 | 20.50.73.5Azure · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 1 | 13.74.111.192Azure · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 1 | 20.190.160.5Azure · CLOUD | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 1 | 40.74.98.197Azure · CLOUD | Osaka, Osaka, Japan | AS8075Microsoft Corporation |
| 24 | 15 | - | - |
Detected Technologies5
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
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