Summary
This website contacted 4 IPs in 3 countries across 4 domains to perform 2 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.
Submitted URL: https://syoqtwhm.mvl.94accesspoint.vpceslotter.03-120-55-020.plesk.page/auth/oidc/azure
Effective URL: https://login.microsoftonline.com/b34ec9cd-0a78-4623-9e54-2885791429c7/oauth2/v2.0/authorize?access_type=offline&client_id=86a3041a-a218-4ec6-a019-fe40c6d23389&code_challenge=s38ycFPopatVqOMfg-YwcPFO6Bq6CVhjcVxxnZq-miM&code_challenge_method=S256&redirect_uri=https%3A%2F%2Fvpn.hsag-prod.onpower.cloud%2Fauth%2Foidc%2Fazure%2Fcallback&response_type=code&scope=openid+email+profile&state=lJfWWqyOfxmp_6YR&sso_reload=trueRedirected
AI Security Verdict
Low Risk
Confidence: 80%
Low‑risk login page likely using legitimate Microsoft SSO; no clear malicious indicators.
Risk Factors
Safety Factors
Details
Page Title
Sign in to your account
Scan Type
public
Language
English
Category
documentation technical
(37%)Domain Information
Domain 'syoqtwhm.mvl.94accesspoint.vpceslotter.03-120-55-020.plesk.page' uses the .page top-level domain with subdomain 'syoqtwhm.mvl.94accesspoint.vpceslotter.03-120-55-020'. Count 5 characters in 'plesk' holding 1 vowel versus 4 consonants. Segmentation suggests two words: pl, esk. Average segment length settles at 2.5 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 | 3.120.55.20 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 4 | 40.126.31.129 | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 4 | 23.207.210.137 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 40.126.32.138 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 17 | 4 | - | - |
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