Summary
This website contacted 22 IPs in 2 countries across 6 domains to perform 31 HTTP transactions. The main domain is rbfcu-star.azurewebsites.net.
Submitted URL: https://rbfcu-star.azurewebsites.net/(S(wfphd5wtumlqj2g13i52st4l))/Main/Login
Effective URL: https://rbfcu-star.azurewebsites.net/(S(asbosx2ftvfpoz3v5ugfkfgr))/Main/LoginRedirected
AI Security Verdict
Details
Page Title
Login - RBFCU STAR
Scan Type
public
Language
English
Category
government public service
(34%)Domain Information
The domain 'rbfcu-star.azurewebsites.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'rbfcu-star'. Its registrable label 'azurewebsites' stretches across 13 characters holding six vowels versus seven consonants. Word splitting yields 2 words: azure, websites. The median word length lands at 6.5 characters. Most frequently, 'azure' shows up in English. You will also see it in Dutch and German contexts.
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 |
|---|---|---|---|
| 19 | 13.65.42.183 | San Antonio, Texas, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 6 | 104.21.27.152 | United States | AS13335CLOUDFLARENET |
| 3 | 142.250.181.227 | United States | AS15169GOOGLE |
| 1 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.142.245 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.186.163 | United States | AS15169GOOGLE |
| 1 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 142.250.181.234 | United States | AS15169GOOGLE |
| 1 | 151.101.194.137 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 31 | 22 | - | - |
Detected Technologies11
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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