Summary
This website contacted 6 IPs in 4 countries across 7 domains to perform 36 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.
Submitted URL: https://wenet.festo.online
Effective URL: https://login.microsoftonline.com/a1ae89fb-21b9-40bf-9d82-a10ae85a2407/oauth2/v2.0/authorize?client_id=554ac960-2ddd-48fb-941f-329186ea815b&response_type=code&scope=openid%20email%20profile&redirect_uri=https%3A//wenet.festo.online/openid-connect/wenet_prod&state=1-f9s_XFcKI39z2rZJIyqoCcw1ZveAS05woZKi17kjk&sso_reload=trueRedirected
The Cisco Umbrella rank of the primary domain is #143,535 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 78%
Impersonates FESTO login on a low‑rank domain; likely a credential‑phishing page.
Risk Factors
Details
Page Title
Sign in to your account
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain name 'wenet.festo.online' uses the modern generic top-level domain (.online) with subdomain 'wenet'. The registrable portion 'festo' spans 5 characters holding 2 vowels versus three consonants. Splitting it apart reveals two words: fes, to. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 3 | 13.69.239.72 | Ireland | |
| 3 | 23.200.24.152 | United States | |
| 3 | 40.126.32.133 | Netherlands | Unknown |
| 3 | 4.182.56.141 | Frankfurt am Main, Hesse, Germany | AS8075Microsoft Corporation |
| 3 | 40.126.31.129 | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 3 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 18 | 6 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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