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://fratecast-app.destinationtrans.com/
Effective URL: https://login.microsoftonline.com/c4d625de-c64a-47af-8d8f-eede63764cbb/oauth2/v2.0/authorize?response_type=code+id_token&redirect_uri=https%3A%2F%2Ffratecast-app.destinationtrans.com%2F.auth%2Flogin%2Faad%2Fcallback&client_id=29bb9aab-ea65-40f6-9b05-618b1121ef23&scope=openid+profile+email&response_mode=form_post&nonce=0b332ce9471d4ebda6cffe8402e8e725_20260222093439&state=redir%3D%252F&sso_reload=trueRedirected
AI Security Verdict
Low Risk
Confidence: 88%
The page collects credentials via a login form that posts to Microsoft’s login service; cross‑origin submission and heavy JS obfuscation indicate a phishing kit.
Risk Factors
Safety Factors
Details
Page Title
fratecast-app.destinationtrans.com
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Domain 'fratecast-app.destinationtrans.com' uses the commercial generic top-level domain (.com) and includes subdomain 'fratecast-app'. Count 16 characters in 'destinationtrans' with six vowels and ten consonants. Splitting it apart reveals two words: destination, trans. The median word length lands at 8 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 |
|---|---|---|---|
| 20 | 20.40.202.3 | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 20 | 1 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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