Security Scan Report: enterpriseenrollment.eu.manychat.com

Redirected to:
https://login.microsoftonline.com/organizations/oauth2/v2.0/authorize?...
Site favicon
Submitted: Sep 19, 2026, 9:29:51 AMCompleted: Sep 19, 2026, 9:30:10 AMpubliccompleted

This website contacted 10 IPs in 3 countries across 7 domains to perform 13 HTTP transactions. The main domain is login.microsoftonline.com and was registered 31 years ago.

Submitted URL: https://enterpriseenrollment.eu.manychat.com

Effective URL:

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

The Cisco Umbrella rank of the primary domain is #64,747 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Entry subdomain redirects to the genuine Microsoft Azure/Intune sign-in on the official login.microsoftonline.com domain. No phishing, impersonation, or credential exfiltration detected.

Safety Factors
Final page served by the official microsoftonline.com authentication domain
Credentials are submitted to Microsoft's own login endpoint, not a third-party collector
Domain change resolves to a recognized, authentic service login flow (Azure/Intune)
No malware, IoC, IDS, or kit-roster matches
Domain age information unavailable

Details

Page Title

Sign in to Microsoft Azure

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'enterpriseenrollment.eu.manychat.com' is registered with subdomain 'enterpriseenrollment.eu'. The registrable portion 'manychat' spans 8 characters containing 2 vowels alongside six consonants. Word splitting yields 2 words: many, chat. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://enterpriseenrollment.eu.manychat.com

Page Load Overview

1.66s
Total Load Time
240 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
4150.171.84.42Azure · CLOUDUnited States
AS8075Microsoft Corporation
152.236.189.96Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
1150.171.84.43Azure · CLOUDUnited States
AS8075Microsoft Corporation
120.190.160.20Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
152.178.17.233Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
123.207.210.136Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
140.126.32.72Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
120.190.160.132Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
140.126.32.76Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
1310--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131731945F3D1F032E9596EE8991514A16B3D259F612ECE44B2F843803F63AD9CA73A0F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OH3GxYsh95ysvr72r9H1CmeK/eWqPnBV6Fto:i3kj5d2r9Mm1GWmVn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75670:OAxg9kimThQoN6hThgVAcAMFLqCQEQAEOQoBZQMY0hJJwOFURCBmgRgBEswASTSIoaHEEC6AEDmQgOiLCJxIUGZAIACBhHAm

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:#756ce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data