Summary
API
Submitted URL: https://enterpriseenrollment.starbucks.fr
The Cisco Umbrella rank of the primary domain is #965,804 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 88%
Starbucks enterprise-enrolment subdomain hands off to Microsoft's genuine Azure AD sign-in. The login form and all assets belong to Microsoft; no phishing, malware or exfiltration signals were found.
Safety Factors (3)
Details
Page Title
Sign in to Microsoft Azure
Scan Type
public
Domain Name Analysis
The domain 'enterpriseenrollment.starbucks.fr' uses the French country-code top-level domain (.fr); it also runs on subdomain 'enterpriseenrollment'. The core label 'starbucks' covers 9 characters with two vowels and seven consonants. Breaking it apart gives one word: starbucks. 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 |
|---|---|---|---|
| 7 | 20.190.159.71Office365 · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 2 | 13.74.111.192Azure · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 2 | 150.171.84.25Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 2 | 4.150.223.115Azure · CLOUD | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 2 | 40.126.31.0Office365 · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 2 | 13.107.246.44Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 2 | 4.207.44.66Azure · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 2 | 23.200.24.170Akamai · CDN | Berlin, State of Berlin, Germany | AS20940Akamai International B.V. |
| 2 | 20.190.159.129Office365 · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 23 | 9 | - | - |
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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