Security Scan Report: app-pbi-wfe-taiwan-north-v3.pbi-wfe-taiwan-north-v3-ase.p.azurewebsites.net

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https://app-pbi-wfe-taiwan-north-v3.pbi-wfe-taiwan-north-v3-ase.p.azur...
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Submitted: Jun 24, 2026, 9:28:07 PMCompleted: Jun 24, 2026, 9:29:21 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is app-pbi-wfe-taiwan-north-v3.pbi-wfe-taiwan-north-v3-ase.p.azurewebsites.net and was registered NaN years ago.

Submitted URL: https://app-pbi-wfe-taiwan-north-v3.pbi-wfe-taiwan-north-v3-ase.p.azurewebsites.net

Effective URL: https://app-pbi-wfe-taiwan-north-v3.pbi-wfe-taiwan-north-v3-ase.p.azurewebsites.net/singleSignOn?ru=https%3A%2F%2Fapp-pbi-wfe-taiwan-north-v3.pbi-wfe-taiwan-north-v3-ase.p.azurewebsites.net%2F%3FnoSignUpCheck%3D1Redirected

The Cisco Umbrella rank of the primary domain is #650,190 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Page mimics Microsoft Power BI login but lacks forms; brand impersonation on an unknown‑age Azure subdomain yields moderate risk.

Risk Factors
Brand impersonation on mismatched domain
Low domain ranking
Unknown subdomain age on hosting platform
Potentially deceptive login UI without actual form
Safety Factors
No password or payment fields present
No malicious JavaScript patterns detected
No network IDS alerts
Hosted on reputable Azure infrastructure
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

Sign in | Microsoft Power BI

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(46%)

Domain Information

You're looking at domain 'app-pbi-wfe-taiwan-north-v3.pbi-wfe-taiwan-north-v3-ase.p.azurewebsites.net' on the network infrastructure generic top-level domain (.net) with subdomain 'app-pbi-wfe-taiwan-north-v3.pbi-wfe-taiwan-north-v3-ase.p'. The second-level label 'azurewebsites' is 13 characters long containing six vowels alongside 7 consonants. Word splitting yields two words: azure, websites. Median word length comes out to 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app-pbi-wfe-taiwan-north-v3.pbi-wfe-taiwan-north-v3-ase.p.azurewebsites.net

Page Load Overview

5.18s
Total Load Time
43
HTTP Requests
5
Domains
1.7 MB
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:975 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software46% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2213.107.246.44United States
AS8075Microsoft Corporation
2151.53.28.212Taipei, Taipei City, Taiwan
AS8075Microsoft Corporation
432--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16192B757CC929163814340DDA772BB8C9FB08117AB44C638B4FD69D91F80FDE6667E88

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:TwgSwggdkB6spM8Da0w+ed0UO/PpZJJwCzrow6iARo/gEhSao9n+KJVxIN4iSxRC:TwbwggdkB6sjw+ed0F/PpZJJwCzrow6e

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21134:QhTDMeKEcGndcnkCAGK9BDwEIywBInhMKogiRABBQwIChugBC0UjSCxrMMYQCDAgCgQeQAyHKKUoh2GMFYEwPvUwAADEcgl4

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:fffff9f9f9b9c1ff
Perceptual Hash:c992b66dc930cd96
Difference Hash:0244637373630660
Wavelet Hash:7f01b9b9b8b081e1
Color Hash:#291f93

Other Hashes

Crop Resistant:0244637373630660

Scan History

Scan history not available

Unable to load historical scan data