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Security Scan Report: app1933.eastasia.cloudapp.azure.com

Redirected to:
https://www.kmb.hk/
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Submitted: May 15, 2026, 6:33:06 AMCompleted: May 15, 2026, 6:35:02 AMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 38 HTTP transactions. The main domain is kmb.hk and was registered NaN years ago.

Submitted URL: https://app1933.eastasia.cloudapp.azure.com

Effective URL: https://www.kmb.hk/Redirected

The Cisco Umbrella rank of the primary domain is #103 of the top 1 million websitesTop 1K Site

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Site appears legitimate but a critical IDS alert suggests possible malware activity; proceed cautiously.

Risk Factors
Critical network IDS alert indicating possible command‑and‑control activity
Safety Factors
Long‑standing domain registration
High reputation ranking
No malicious Indicators of Compromise found
No credential or payment forms
Final URL matches the legitimate brand domain
Domain age information unavailable

Details

Page Title

The Kowloon Motor Bus Co. (1933) Ltd 九龍巴士(一九三三)

Scan Type

public

Language

🇰🇷

Korean

(73% confidence)

Category

documentation technical

(96%)

Domain Information

The domain name 'app1933.eastasia.cloudapp.azure.com' uses the commercial generic top-level domain (.com), featuring subdomain 'app1933.eastasia.cloudapp'. Its registrable label 'azure' stretches across 5 characters containing 3 vowels alongside two consonants. Word splitting yields one word: azure. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app1933.eastasia.cloudapp.azure.com

Page Load Overview

5.40s
Total Load Time
16
HTTP Requests
2
Domains
426 KB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:73%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:73%
Script Type:Hangul
Text Length:23,099 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical96% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
96%
government public service
95%
corporate business
95%
adult content
91%
news media journalism
90%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43.174.45.156United States
AS16509Amazon.com, Inc.
42.23.7.34Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
452.175.63.31Hong Kong, Hong Kong
AS8075Microsoft Corporation
413.70.43.27Hong Kong, Hong Kong
AS8075Microsoft Corporation
164--

Detected Technologies4

X-UA-Compatible
100%
CentOS
40%
Vue.js
30%
jQuery
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B7445120D24C8E3B10B650C8E0936B9221EF4F78D60545D6FE7796B57FAFC68F209646

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:P3XnErqwIIOF/cySCFetkBeidqpZ2JicziKN/iGWMdxHT8r9Twb3:KCF+kBeidqpEN/isI6b3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:262507:Cxl5FIlB44FBAUrSCYL5lgLAAPLBEAsBpahJGshFEGIAk1kCU1AAjhFCCOmZIMgAAoiByQTUAhZiIgxSg6CBgAKQspME800E

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:ffffffff81fe8081
Perceptual Hash:ed9249966996c33c
Difference Hash:b232801227063233
Wavelet Hash:7edafefe80f08080
Color Hash:#e06c7d

Other Hashes

Crop Resistant:b232801227063233,1010515151515110,d0d1696969680848

Scan History

Scan history not available

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