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Security Scan Report: unbh.qa.cms.unbooking.org

Redirected to:
https://login.microsoftonline.com/462ad9ae-d7d9-4206-b874-71b1e079776f...
Submitted: Apr 25, 2026, 5:05:59 PMCompleted: Apr 25, 2026, 5:07:09 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 1 HTTP transaction. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://unbh.qa.cms.unbooking.org/cms-admin/

Effective URL: https://login.microsoftonline.com/462ad9ae-d7d9-4206-b874-71b1e079776f/oauth2/v2.0/authorize?client_id=604f4f67-b7b8-43c1-91a7-487454fa3b89&response_type=id_token&redirect_uri=https%3A%2F%2Funbh.qa.cms.unbooking.org%2Foidc%2Fdone%2F&state=%2Fcms-admin%2F&response_mode=form_post&nonce=TBrXZke3B3moDyyGC11QevxjxnhFUJamL5iGtOxp&scope=openid+profile&login_hint=&sso_reload=trueRedirected

The Cisco Umbrella rank of the primary domain is #952,937 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

High‑risk phishing page impersonating WFP’s IT Service Desk; avoid interaction and report.

Risk Factors
Brand impersonation of a well‑known organization
Low domain reputation (rank > 900 k)
Credential collection on a third‑party domain
Custom login page mimicking Microsoft sign‑in
Potential phishing vector
Safety Factors
Form action points directly to Microsoft login endpoint
No hidden password or payment fields
No JavaScript malware patterns detected
No network IDS alerts
Standard Azure AD flow with legitimate hidden tokens
Page served from an identity-provider sign-in endpoint (login.microsoftonline.com); a relying-party brand and login form here are normal SSO, not impersonation — risk clamped from 8 to 2
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(28%)

Domain Information

You're looking at domain 'unbh.qa.cms.unbooking.org' on the non-profit oriented generic top-level domain (.org), featuring subdomain 'unbh.qa.cms'. Its registrable label 'unbooking' stretches across 9 characters with four vowels and five consonants. Breaking it apart gives 2 words: un, booking. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unbh.qa.cms.unbooking.org/cms-admin/

Page Load Overview

0.90s
Total Load Time
19
HTTP Requests
5
Domains
954 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:252 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software28% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
28%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
420.50.80.210Germany
AS8075Microsoft Corporation
320.190.159.64Ireland
AS20940Akamai International B.V.
32.16.241.207Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
313.107.246.44United States
AS8075Microsoft Corporation
334.241.251.160Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
320.190.160.65UnknownUnknown
196--

Detected Technologies5

X-UA-Compatible
100%
PasswordField
100%
Meta-Refresh-Redirect
100%
HSTS
40%
Ghost
15%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12A834CD97EA31937828641F9B5BA6E026A3A68038D4DDC60F14CCDC82FFA74D8177617

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lk088GLG2zrlBNVk9Lb+KoIyEk77gx2xpTvPoMmCfPErXNiKCC:+088OrlBNVk9LaKJ32RABCC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80899:oiIKJguKkIdiokApQRSEFGGhniuokEQ8tAhAwwyUamKBXFsIA1mhgAAPQBAMKKFAgruBTAqkeEZNlF4EZDEHxWAgUoMsICnC

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:8784981818180000
Perceptual Hash:9c9b6367cc2499c9
Difference Hash:1c38323232329696
Wavelet Hash:cf8f9f9b1a9a40c0
Color Hash:#d279bb

Other Hashes

Crop Resistant:ea6072b283822e86,b380c03032c080b2,1c38323232329696

Scan History

Scan history not available

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