Security Scan Report: enterpriseenrollment.mediahuislimburg.nl

Redirected to:
https://login.microsoftonline.com/organizations/oauth2/v2.0/authorize?...
Site favicon
Submitted: Oct 2, 2026, 11:07:59 PMCompleted: Oct 2, 2026, 11:08:33 PMpubliccompleted

This website contacted 12 IPs in 5 countries across 8 domains to perform 23 HTTP transactions. The main domain is login.microsoftonline.com and was registered 31 years ago.

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

Effective URL:

https://login.microsoftonline.com/organizations/oauth2/v2.0/authorize?...
Redirected

AI Security Verdict

Safe Website

Confidence: 94%

0
Risk Score

Genuine Microsoft Azure/Intune sign-in page served by login.microsoftonline.com; the mediahuislimburg.nl host merely redirects into Microsoft's OAuth flow. No phishing, malware, or credential exfiltration indicators.

Safety Factors (6)
Final URL is Microsoft's own registered identity domain (microsoftonline.com) serving its native sign-in page.
Explicit cross-origin analysis verdict: legitimate SSO flow, no credential exfiltration.
No Indicators of Compromise, no JavaScript malware YARA patterns, no network IDS alerts, no known malicious kit.
All external resources resolve to Microsoft-operated hosts.
Entry domain mediahuislimburg.nl is an established 24-year-old registrable domain.
Email + password login on Microsoft's own domain with same-origin form action is the provider's own authentication, not impersonation.
Domain age information unavailable

Details

Page Title

Sign in to Microsoft Azure

Scan Type

public

Domain Name Analysis

You're looking at domain 'enterpriseenrollment.mediahuislimburg.nl' on the Dutch country-code top-level domain (.nl); it also runs on subdomain 'enterpriseenrollment'. Its registrable label 'mediahuislimburg' stretches across 16 characters split between seven vowels and 9 consonants. Tokenizing the label suggests 4 words: media, hu, is, limburg. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.76s
Total Load Time
830 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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
1220.190.160.130Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
152.236.189.96Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
1150.171.84.43Azure · CLOUDUnited States
AS8075Microsoft Corporation
14.150.223.112Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
140.126.31.2Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
123.207.210.136Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
152.178.17.2Azure · CLOUDPhoenix, Arizona, United States
AS8075Microsoft Corporation
123.207.210.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
120.190.160.131Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
120.190.160.67Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
2312--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10F935BE6BEA71E3BC78A4175B4B96E02AE365903884CCD64F54CCD842FFB65D8123607

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:eijR8GLG2u0CNDaN7oapFxWtC5TIZ9Tjuokmap5vPoMLuBo0fyiD/FfoaJ1:j8rLDAUapFxv52a/AhtAaJ1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93291:SAMKlCGAgkEiIYQVzQNANGHi5BCBcGzGMhRAXEFUkgCQA6CBCIzAAEiIQmjAClSoIoYEcBKIBZMDEKjBAAGDdgMICooHgHBK

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:003a3f3f373fff00
Perceptual Hash:85d970f626d919e4
Difference Hash:c8e2d2d2e4cae6e7
Wavelet Hash:003a3b3f373f7700
Color Hash:#d22d88

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data