Summary
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.
Submitted URL: https://wmo.we-energies.com
Effective URL: https://login.microsoftonline.com/02f85842-fff3-4d05-b300-ebc48a392de1/oauth2/v2.0/authorize?client_id=394a929e-d90e-4393-b467-9da192d1d96a&grant_type=authorization_code&id_token=code&profile=profile_&redirect_uri=https%3A%2F%2Fwmo.we-energies.com%2Foauth%2Fclient%2Fredirect&response_type=code&scope=http%3A%2F%2Ff5%2Fb547b2a1-d012-4918-8b49-479ed1a3864a%2Fuser_impersonation&state=5z7lHIjppSWE940TMUnV-AQ&code_challenge_method=S256&code_challenge=P-ygpzMOtWGm4_FoqBRpDIRynMekgBSDIqfGr6pcZpE&sso_reload=trueRedirected
The Cisco Umbrella rank of the primary domain is #281,579 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 85%
Page impersonates We Energies and harvests credentials via a cross‑origin login form – treat as phishing.
Risk Factors
Details
Page Title
wmo.we-energies.com
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Within the commercial generic top-level domain (.com), 'wmo.we-energies.com' is registered with subdomain 'wmo'. The registrable portion 'we-energies' spans 11 characters with five vowels and five consonants; bonus characters include 1 hyphen. Tokenizing the label suggests two words: we, energies. Average segment length settles at five 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 |
|---|---|---|---|
| 31 | 156.76.194.10 | Milwaukee, Wisconsin, United States | AS6341WEC Business Services LLC |
| 31 | 1 | - | - |
Detected Technologies5
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
Unable to load historical scan data