Security Scan Report: infineaiq.azurewebsites.net

Redirected to:
https://infineaiq.azurewebsites.net/Account/Login?ReturnUrl=%2F
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 2 domains to perform 10 HTTP transactions. The main domain is azurewebsites.net and was registered 14 years ago.

Submitted URL: https://infineaiq.azurewebsites.net

Effective URL:
https://infineaiq.azurewebsites.net/Account/Login?ReturnUrl=%2F
Redirected

The Cisco Umbrella rank of the primary domain is #166,577 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

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)
Login page on a shared hosting-platform subdomain whose actual creation date cannot be verified
Hosting platform (azurewebsites.net) is commonly abused and carries generic IDS 'abused hosting domain' informational alerts
Safety Factors (5)
Login form posts to the site's own origin; no cross-origin submission or credential exfiltration detected
CSRF token and standard ASP.NET MVC login structure indicate a normally built application
Page's self-branding ('Quantum IQ', 'Infinite Peripherals') is consistent with its own subdomain infineaiq.azurewebsites.net — no impersonation of a different entity
All JavaScript served from the site's own domain; no obfuscation or behavioral signals
No payment fields, no disguised password fields, no IoC, hunting rule, Safe Browsing or phishing/malware IDS hits
Domain age information unavailable

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

Security scan screenshot of https://infineaiq.azurewebsites.net

Page Load Overview

1.48s
Total Load Time
434 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:175 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
67%
documentation technical
30%
social_media
25%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
523.100.82.11Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
5192.178.183.95Google · CDNUnited States
AS15169Google LLC
102--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B0815051A4F8186B00018590B551BB1B7EDDEA13CE0B5988F5FC07AD9FDBE82C99B42A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nsgupOAiHfZkGCqYqmY/saYAXXt3F/PoaU/kkKuCTG:nsgu81HffCDojtV/wpqTG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4106:ACSQgAgAACigAMgAAAsQkgAAQACQGgGBjBhABGqAwiERCCAACCEBAAgKACIGAOMAiAOAhORQAgBIAAEZSABgQAEQAQAyIiwB

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

Average Hash:ffffe7e7e7e7ffff
Perceptual Hash:b331cccc33993366
Difference Hash:08304c484c083000
Wavelet Hash:0c0c0000e3fbfbf3
Color Hash:07000007000

Other Hashes

Crop Resistant:08304c484c083000

Scan History

Scan history not available

Unable to load historical scan data