Security Scan Report: enterpriseenrollment.vans.com.au

Redirected to:
https://login.microsoftonline.com/organizations/oauth2/v2.0/authorize?...
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Submitted: Completed: publiccompleted
This website contacted 15 IPs in 4 countries across 9 domains to perform 25 HTTP transactions. The main domain is vans.com.au.

Submitted URL: https://enterpriseenrollment.vans.com.au

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

AI Security Verdict

Safe Website

Confidence: 90%

1
Risk Score

Legitimate Microsoft Azure/Intune sign-in reached via a redirect from vans.com.au; form posts to Microsoft's own login.microsoftonline.com with no exfiltration, impersonation, or threat-intel hits.

Safety Factors (5)
Final page is hosted on Microsoft's official login.microsoftonline.com domain, matching the branding shown.
OAuth redirect targets intune.microsoft.com, consistent with legitimate Intune enterprise enrollment SSO.
No credential exfiltration: form action is same-domain (login.microsoftonline.com).
No payment fields and no disguised password fields.
Clean results across threat intelligence, hunting rule, kit roster and network IDS.
Domain age information unavailable

Details

Page Title

Sign in to Microsoft Azure

Scan Type

public

Domain Name Analysis

Within the Australian country-code top-level domain (.com.au), 'enterpriseenrollment.vans.com.au' is registered, featuring subdomain 'enterpriseenrollment'. Count 4 characters in 'vans' split between 1 vowel and 3 consonants. Segmentation suggests 1 word: vans. No strong language cues emerged from the frequency lists.

Screenshot

go Microsoft Sign in {to continue to Microsoft Azure Email, phone, or Skype No account? Create one! Can’t access your account? ©) Sign in with Gittub ‘Terms of u

Page Load Overview

2.12s
Total Load Time
840 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
1120.190.159.68Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
1123.207.210.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
274.144.159.199Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
152.236.189.96Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
1150.171.84.25Azure · CLOUDUnited States
AS8075Microsoft Corporation
14.150.223.113Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
120.190.160.131Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
14.207.44.66Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
140.126.32.74Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
2515--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156936BE6BEA22D3B878A45B5A5B57E02AE3A5D03484CCD64F04CCD842FF6B5D8127613

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+Cn1a8GLG2DnY/yL9RmoeIZ9Tjuokmap5vPoMLuBH0foiDznH1:G8hy7mqa/As71

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:95612:kQBGhlDACSEGRDiLAgQBgERBooNmkAj3YQhSCKDEQsBJlvcCCEAA4jwHAQJyzgXakCDg1UpGLSABxAahgIJG7KBgFoQIIICK

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:07000000180

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data