Summary
This website contacted 4 IPs in 2 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://da48bf25d56be204.03-120-55-020.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=-y8hqN-uFLG5S5jTWpYw0lm5bw_e43JF7qyUMfpqG-I&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=wUQngLg3YjXwHuS-&sso_reload=trueRedirected
AI Security Verdict
Safe Website
Confidence: 85%
The page appears to be a legitimate SSO login redirect to Microsoft; no malicious indicators detected.
Safety Factors
Details
Page Title
Sign in to your account
Scan Type
public
Language
English
Category
documentation technical
(37%)Domain Information
Domain 'da48bf25d56be204.03-120-55-020.plesk.page' uses the .page top-level domain; it also runs on subdomain 'da48bf25d56be204.03-120-55-020'. The second-level label 'plesk' is 5 characters long containing one vowel alongside four consonants. It segments into 2 words: pl, esk. Expect 2.5 characters per word on average. 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 |
|---|---|---|---|
| 4 | 40.126.31.131Azure · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 4 | 3.120.55.20Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 4 | 23.207.210.136 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 20.190.159.73Azure · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 16 | 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