Summary
This website contacted 6 IPs in 4 countries across 6 domains to perform 15 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.
Submitted URL: http://ai-alerts.unicepta.io/
Effective URL: https://login.microsoftonline.com/6fbe8b87-65e1-4833-9a56-661a5c842ecc/oauth2/v2.0/authorize?approval_prompt=force&client_id=04b3024e-d053-455c-b3cf-5e35cd1e7409&redirect_uri=https%3A%2F%2Fai-alerts.unicepta.io%2Foauth2%2Fcallback&response_type=code&scope=openid+https%3A%2F%2Fgraph.microsoft.com%2F.default&state=LFga4YoxyQmrN5vLTwXoacFeLnV1VFO1ACLOosWmx4o%3A%2F&sso_reload=trueRedirected
AI Security Verdict
Low Risk
Confidence: 85%
Low‑risk legitimate login portal using Azure AD SSO; no malicious indicators found.
Risk Factors
Safety Factors
Details
Page Title
Sign in to your account
Scan Type
public
Language
English
Category
finance banking
(63%)Domain Information
The domain name 'ai-alerts.unicepta.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'ai-alerts'. The core label 'unicepta' covers 8 characters split between four vowels and four consonants. Segmentation suggests 3 words: u, nice, pta. Median word length is three 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 |
|---|---|---|---|
| 6 | 34.102.144.127 | Kansas City, Missouri, United States | AS396982Google LLC |
| 2 | 23.207.210.137 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 20.50.80.213 | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 2 | 20.190.160.22 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 2 | 40.126.31.67 | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 2 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 16 | 6 | - | - |
Detected Technologies4
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