Security Scan Report: enterpriseenrollment.rakicc.com

Redirected to:
https://login.microsoftonline.com/organizations/oauth2/v2.0/authorize?...
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Submitted: Completed: publiccompleted
This website contacted 10 IPs in 4 countries across 9 domains to perform 23 HTTP transactions. The main domain is rakicc.com and was registered 11 years ago.

Submitted URL: https://enterpriseenrollment.rakicc.com

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

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Genuine Microsoft Azure/Intune sign-in served from login.microsoftonline.com. Standard OAuth flow, no phishing, malware, or credential exfiltration indicators detected.

Safety Factors (4)
Exit page served from Microsoft's official login.microsoftonline.com infrastructure with full Microsoft authentication assets (aadcdn.msauth.net, aadcdn.msftauth.net)
Standard hidden fields (flowToken, canary, hpgrequestid, ctx) are normal Microsoft authentication state, not disguised credential capture
Only browser telemetry to Microsoft's own events.data.microsoft.com
Entry subdomain enterpriseenrollment.rakicc.com is the conventional MDM/Intune enrollment hostname pattern redirecting into Microsoft's tenant login
Domain age information unavailable

Details

Page Title

Sign in to Microsoft Azure

Scan Type

public

Domain Name Analysis

You're looking at domain 'enterpriseenrollment.rakicc.com' on the commercial generic top-level domain (.com), featuring subdomain 'enterpriseenrollment'. Its registrable label 'rakicc' stretches across 6 characters with 2 vowels and 4 consonants. Word splitting yields two words: rak, icc. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://enterpriseenrollment.rakicc.com

Page Load Overview

1.45s
Total Load Time
827 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
520.190.160.132Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
220.91.147.72Azure · CLOUDSweden
AS8075Microsoft Corporation
2150.171.84.43Azure · CLOUDUnited States
AS8075Microsoft Corporation
220.52.64.205Azure · CLOUDFrankfurt am Main, Hesse, Germany
AS8075Microsoft Corporation
220.190.160.4Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
223.53.42.115Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
220.50.201.200Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
220.190.160.131Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
220.190.160.2Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
213.107.246.61Azure · CLOUDUnited States
AS8075Microsoft Corporation
2310--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D936CE67EA71A37828A45B5B5BA7E02AA3A4D03884DCD74F09CCD842FEB75D4127503

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:e5di8GLG2b8eFsFGd6yWH/TIZ9Tjuokmap5vPoMLuBo0fyiDE+j1:gi8CaFq0/2a/Ahb1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94881:CRNYFoxmAEHWk2wOVbcAQOHAaBADEQUFDgEWVUJIAxIEKIQKgTCHJAIjIhICoVlA1QgQwDBKWQIn8CgpzADCBCOaHqpuAZib

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:#2d8649

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data