Security Scan Report: enterpriseenrollment.zoochic-eu.ru

Redirected to:
https://login.microsoftonline.com/organizations/oauth2/v2.0/authorize?...
Site favicon
Submitted: Sep 22, 2026, 8:30:29 AMCompleted: Sep 22, 2026, 8:30:48 AMpubliccompleted

This website contacted 8 IPs in 3 countries across 6 domains to perform 13 HTTP transactions. The main domain is login.microsoftonline.com and was registered 31 years ago.

Submitted URL: https://enterpriseenrollment.zoochic-eu.ru

Effective URL:

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

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Capture resolves to Microsoft's genuine login.microsoftonline.com sign-in page with a valid Azure/Intune OAuth flow; no malware or phishing evidence on the final page, though the redirect began on an unrelated domain.

Risk Factors (1)
Chain begins on an unrelated domain (enterpriseenrollment.zoochic-eu.ru) using an Intune-style subdomain name before redirecting to Microsoft — an unusual, potentially deceptive link path
Safety Factors (4)
Final URL is the official microsoftonline.com login endpoint with a valid Azure/Intune OAuth client_id and redirect_uri
Real Microsoft login form fields (flowToken, canary, hpgrequestid) consistent with genuine AAD sign-in infrastructure
No IoC matches, no malicious JavaScript, no network IDS alerts, no credential exfiltration
Cross-origin posts go to Microsoft's own authentication host, confirmed as legitimate SSO
Domain age information unavailable

Details

Page Title

Sign in to Microsoft Azure

Scan Type

public

Domain Name Analysis

The domain name 'enterpriseenrollment.zoochic-eu.ru' uses the Russian country-code top-level domain (.ru), featuring subdomain 'enterpriseenrollment'. The second-level label 'zoochic-eu' is 10 characters long containing five vowels alongside 4 consonants, notching 1 hyphen. Tokenizing the label suggests three words: zoo, chic, eu. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://enterpriseenrollment.zoochic-eu.ru

Page Load Overview

1.89s
Total Load Time
257 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
6150.171.84.43Azure · CLOUDUnited States
AS8075Microsoft Corporation
152.236.189.96Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
140.126.31.3Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
14.150.223.105Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
120.190.159.75Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
120.190.159.130Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
140.126.31.128Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
138--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB731A45F3D1F032D9592EE8992514A17B3D259F612ECE44B2F842803F63AD9CA73A0F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OH3GxYsh95ysvr72r9H1CmeK/eWqPnBhg0xSY:i3kj5d2r9Mm1GWmGY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75653:FAgh1XkDeEKoQiK4AYQiECCHAJmAAloELRsAB1GRUcsXQ6II0kOHSjQQbeEMFECQzERcjAZ5YCEQQquDgPEEUgUAYQgaBRAD

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:#51bf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data