Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 11 HTTP transactions. The main domain is aay-scus-101-fa.azurewebsites.net and was registered NaN years ago.
Submitted URL: https://aay-scus-101-fa.azurewebsites.net
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Azure Functions placeholder page; no threats detected.
Safety Factors
Details
Page Title
Your Azure Function App is up and running.
Scan Type
public
Language
English
Category
technology software
(74%)Domain Information
The domain 'aay-scus-101-fa.azurewebsites.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'aay-scus-101-fa'. Count 13 characters in 'azurewebsites' split between 6 vowels and seven consonants. Splitting it apart reveals 2 words: azure, websites. Average segment length settles at 6.5 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 | 40.119.12.24 | San Antonio, Texas, United States | AS8075Microsoft Corporation |
| 2 | 184.24.77.9 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 2 | - | - |
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