Security Scan Report: enterpriseenrollment.pp.one4alldigital.ie

Redirected to: https://login.microsoftonline.com/organizations/oauth2/v2.0/authorize?client_id=c44b4083-3bb0-49c1-b47d-974e53cbdf3c&scope=https%3A%2F%2Fmanagement.core.windows.net%2F%2F.default%20openid%20profile%20offline_access&redirect_uri=https%3A%2F%2Fintune.microsoft.com%2Fauth%2Flogin%2F&client-request-id=019bef1f-9ee6-7084-bfdb-b4535abf6930&response_mode=fragment&client_info=1&nonce=019bef1f-9ee8-7bb1-be76-ca8dc0d975ca&state=eyJpZCI6IjAxOWJlZjFmLTllZTctN2JlMS05MzQyLTZmZmU1ZWJiOTlmOSIsIm1ldGEiOnsiaW50ZXJhY3Rpb25UeXBlIjoicmVkaXJlY3QifX0%3D&x-client-SKU=msal.js.browser&x-client-VER=4.21.0&response_type=code&code_challenge=jwezHHt_HyUfZMDJIWtRLn-vx6DaAfjSVvygjQ_gnAo&code_challenge_method=S256&site_id=501430&instance_aware=true&sso_reload=true

Submitted: Jan 24, 2026, 8:29:42 AMCompleted: Jan 24, 2026, 8:30:51 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 7 domains to perform 26 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://enterpriseenrollment.pp.one4alldigital.ie

Effective URL: https://login.microsoftonline.com/organizations/oauth2/v2.0/authorize?client_id=c44b4083-3bb0-49c1-b47d-974e53cbdf3c&scope=https%3A%2F%2Fmanagement.core.windows.net%2F%2F.default%20openid%20profile%20offline_access&redirect_uri=https%3A%2F%2Fintune.microsoft.com%2Fauth%2Flogin%2F&client-request-id=019bef1f-9ee6-7084-bfdb-b4535abf6930&response_mode=fragment&client_info=1&nonce=019bef1f-9ee8-7bb1-be76-ca8dc0d975ca&state=eyJpZCI6IjAxOWJlZjFmLTllZTctN2JlMS05MzQyLTZmZmU1ZWJiOTlmOSIsIm1ldGEiOnsiaW50ZXJhY3Rpb25UeXBlIjoicmVkaXJlY3QifX0%3D&x-client-SKU=msal.js.browser&x-client-VER=4.21.0&response_type=code&code_challenge=jwezHHt_HyUfZMDJIWtRLn-vx6DaAfjSVvygjQ_gnAo&code_challenge_method=S256&site_id=501430&instance_aware=true&sso_reload=trueRedirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page impersonating Microsoft Azure login; do not enter credentials.

Risk Factors
Brand impersonation (Microsoft Azure) on an unrelated domain
Credential harvesting form (email/phone and password) on suspicious domain
Unranked domain presenting a major brand
Domain age information unavailable

Details

Page Title

Sign in to Microsoft Azure

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

Within the Irish country-code top-level domain (.ie), 'enterpriseenrollment.pp.one4alldigital.ie' is registered; it also runs on subdomain 'enterpriseenrollment.pp'. Count 14 characters in 'one4alldigital' containing six vowels alongside 7 consonants, along with 1 digit. Segmentation suggests 4 words: one, 4, all, digital. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://enterpriseenrollment.pp.one4alldigital.ie

Page Load Overview

1.41s
Total Load Time
27
HTTP Requests
8
Domains
715 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:187 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software78% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
78%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7150.171.84.26United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
452.182.143.215Ireland
413.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
413.74.111.192Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
420.190.159.71UnknownUnknown
420.190.160.130UnknownUnknown
276--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF837CDA7EB31937864654B5B8B62E026E366E47498CCDA4F04CCD802FFB74E8127643

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sY+d8GLGGvQYDyBAN+WUiDozTEyqU6MVnvnaloMPbNEfiitncQ1:s8LODXyS2dz1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85844:rAAIgagAUyBC1AEQJiQEhiQgFREpgkhWhUQGYFlV3hQBFBMEEorIhACJBAjKikBgLIGT4AYKSNqVAC54AKZZhKkBJAwICAQA

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:003e3f3f373fff00
Perceptual Hash:85d970f626d919e4
Difference Hash:c8e2d2d2e4cae6e7
Wavelet Hash:003a3b3f373f7700
Color Hash:#bac587

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data