Summary
This website contacted 2 IPs in 1 country across 3 domains to perform 35 HTTP transactions. The main domain is identityservice-test.ugentec.app and was registered NaN years ago.
Submitted URL: https://studio-test.ugentec.app
Effective URL: https://identityservice-test.ugentec.app/Account/Login?ReturnUrl=%2Fconnect%2Fauthorize%2Fcallback%3Fresponse_type%3Dcode%26client_id%3DStudioAppId%26state%3DTnVqQ0pNaW9UQVRncHQ0N2FEcmx1UnFvS1M5TjNEaE1ObTRNOH5ZMkp3ak1T%26redirect_uri%3Dhttps%253A%252F%252Fstudio-test.ugentec.app%252Flogin%26scope%3Dopenid%2520profile%2520email%2520StudioScope%2520PlatformScope%2520offline_access%26code_challenge%3DmtxgLoh6SVnVpr_AvjQFRx9vrwhHjVTP5eAzbF0uiUM%26code_challenge_method%3DS256%26nonce%3DTnVqQ0pNaW9UQVRncHQ0N2FEcmx1UnFvS1M5TjNEaE1ObTRNOH5ZMkp3ak1T%26application%3DStudioRedirected
AI Security Verdict
Low Risk
Confidence: 80%
The site hosts a standard login page for its own service; no malicious indicators were found, resulting in a low risk rating.
Risk Factors
Safety Factors
Details
Page Title
UgenTec
Scan Type
public
Language
English
Category
documentation technical
(84%)Domain Information
The domain 'studio-test.ugentec.app' uses the application-focused generic top-level domain (.app) with subdomain 'studio-test'. Count 7 characters in 'ugentec' containing three vowels alongside 4 consonants. Segmentation suggests 3 words: u, gen, tec. Median word length is 3 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 |
|---|---|---|---|
| 17 | 20.50.88.234 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 16 | 20.73.104.225 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 33 | 2 | - | - |
Detected Technologies5
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