Summary
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is prod-advisorsuggestionapi-eus.azurewebsites.net and was registered NaN years ago.
Submitted URL: https://prod-advisorsuggestionapi-eus.azurewebsites.net
AI Security Verdict
Moderate Risk
Confidence: 70%
Potentially suspicious Azure subdomain; no malicious content detected but unknown age warrants caution
Risk Factors
Safety Factors
Details
Page Title
prod-advisorsuggestionapi-eus.azurewebsites.net
Scan Type
public
Language
English
Category
education learning
(85%)Domain Information
The domain 'prod-advisorsuggestionapi-eus.azurewebsites.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'prod-advisorsuggestionapi-eus'. Count 13 characters in 'azurewebsites' with six vowels and 7 consonants. It segments into two 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 |
|---|---|---|---|
| 2 | 40.71.11.137 | Washington, Virginia, United States | AS8075Microsoft Corporation |
| 2 | 1 | - | - |
Detected Technologies1
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