Security Scan Report: enterpriseenrollment.starbucks.nl

Redirected to: https://login.microsoftonline.com/organizations/oauth2/v2.0/authorize?client_id=c44b4083-3bb0-49c1-b47d-974e53cbdf3c&scope=https%3A%2F%2Fmanagement.core.windows.net%2F%2F.default%20openid%20profile%20offline_access&redirect_uri=https%3A%2F%2Fintune.microsoft.com%2Fauth%2Flogin%2F&client-request-id=019d33d7-1c8c-71ba-84a7-31aef67d2800&response_mode=fragment&client_info=1&nonce=019d33d7-1c8c-7787-834b-2d9311f59fe8&state=eyJpZCI6IjAxOWQzM2Q3LTFjOGMtN2EyMS04Mjg5LWRjYmY4M2NiYWI4YSIsIm1ldGEiOnsiaW50ZXJhY3Rpb25UeXBlIjoicmVkaXJlY3QifX0%3D&x-client-SKU=msal.js.browser&x-client-VER=4.21.0&response_type=code&code_challenge=hGgD7jVLVdBLRI-ayCBUQYrZ_IYbCdFxrQb8aPDmsL4&code_challenge_method=S256&site_id=501430&instance_aware=true&sso_reload=true

Submitted: Mar 28, 2026, 9:47:06 AMCompleted: Mar 28, 2026, 9:48:14 AMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 9 domains to perform 1 HTTP transaction. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://enterpriseenrollment.starbucks.nl

Effective URL: https://login.microsoftonline.com/organizations/oauth2/v2.0/authorize?client_id=c44b4083-3bb0-49c1-b47d-974e53cbdf3c&scope=https%3A%2F%2Fmanagement.core.windows.net%2F%2F.default%20openid%20profile%20offline_access&redirect_uri=https%3A%2F%2Fintune.microsoft.com%2Fauth%2Flogin%2F&client-request-id=019d33d7-1c8c-71ba-84a7-31aef67d2800&response_mode=fragment&client_info=1&nonce=019d33d7-1c8c-7787-834b-2d9311f59fe8&state=eyJpZCI6IjAxOWQzM2Q3LTFjOGMtN2EyMS04Mjg5LWRjYmY4M2NiYWI4YSIsIm1ldGEiOnsiaW50ZXJhY3Rpb25UeXBlIjoicmVkaXJlY3QifX0%3D&x-client-SKU=msal.js.browser&x-client-VER=4.21.0&response_type=code&code_challenge=hGgD7jVLVdBLRI-ayCBUQYrZ_IYbCdFxrQb8aPDmsL4&code_challenge_method=S256&site_id=501430&instance_aware=true&sso_reload=trueRedirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page impersonating Microsoft Azure; do not enter credentials and report as scam.

Risk Factors
Cross‑origin credential harvesting form
Brand impersonation on unrelated domain
Unranked domain with high‑profile brand claim
Highly obfuscated JavaScript
Domain age information unavailable

Details

Page Title

Sign in to Microsoft Azure

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

The domain 'enterpriseenrollment.starbucks.nl' uses the Dutch country-code top-level domain (.nl) with subdomain 'enterpriseenrollment'. Count 9 characters in 'starbucks' containing two vowels alongside seven consonants. Word splitting yields one word: starbucks. Median word length is nine characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://enterpriseenrollment.starbucks.nl

Page Load Overview

1.01s
Total Load Time
26
HTTP Requests
8
Domains
498 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:187 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
77%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
552.178.17.233Germany
320.190.160.65Sweden
323.207.210.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
313.107.246.44United States
AS8075Microsoft Corporation
320.44.10.123Des Moines, Iowa, United States
AS8075Microsoft Corporation
340.126.32.68UnknownUnknown
3150.171.84.26United States
AS8075Microsoft Corporation
320.91.147.72Sweden
AS8075Microsoft Corporation
268--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D936CE67EB22937874A45B9B4B56D026A7A5D038C4CCCA4F05CC9843FEB35D8133657

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ej8GLG2ZmFDk1FvVAoIyEk77gx2xpTvPoMmCBOEfyiKBe1:I8ZEAJ32RAp81

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91312:cCDSSMQJwEMzgYDAUAEBxCAEQQMeRLXkgzghIABEh6QJEWDxyDAEDGEBKJAEGj4RAEkCUUe4oeBwpKMIkYMHJgIBwaCqAspQ

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

Average Hash:003e3f3f373fff00
Perceptual Hash:85d970f626d919e4
Difference Hash:c8e2d2d2e4cae6e7
Wavelet Hash:003a3b3f373f7700
Color Hash:#2dbad2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data