Summary
API
Submitted URL: https://infineaiq.azurewebsites.net
The Cisco Umbrella rank of the primary domain is #166,577 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 65%
Self-branded 'Quantum IQ' / Infinite Peripherals login on an Azure subdomain of unknown age. Same-origin form with CSRF token, no impersonation, no exfiltration, no threat-intel or malware hits; only generic platform-reputation IDS notices.
Risk Factors (2)
Safety Factors (5)
Details
Page Title
Quantum IQ - Log in
Scan Type
public
Domain Name Analysis
The domain name 'infineaiq.azurewebsites.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'infineaiq'. The second-level label 'azurewebsites' is 13 characters long holding six vowels versus seven consonants. Splitting it apart reveals 2 words: azure, websites. The median word length lands 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 |
|---|---|---|---|
| 5 | 23.100.82.11Azure · CLOUD | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 5 | 192.178.183.95Google · CDN | United States | AS15169Google LLC |
| 10 | 2 | - | - |
Detected Technologies6
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