Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is accounts.sap.com and was registered NaN years ago.
Submitted URL: https://sen-sapit.authentication.eu30.hana.ondemand.com
Effective URL: https://accounts.sap.com/oauth2/authorize?client_id=59090b39-0370-4e47-b074-b601e2e6fd40&response_type=code&redirect_uri=https%3A%2F%2Fsen-sapit.authentication.eu30.hana.ondemand.com%2Flogin%2Fcallback%2Fsap.custom&state=L83P9mV3FI&code_challenge=LjEm4uDn57qTe57D5HSjNwno2J5VQPsySjwcLXELUEE&code_challenge_method=S256&scope=email+openid+profile&nonce=qjI_wPqV6ZLuRedirected
The Cisco Umbrella rank of the primary domain is #8,485 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate SAP login page; no security concerns detected.
Safety Factors
Details
Page Title
SAP BTP subaccount SAP IT - SEN: Sign In
Scan Type
public
Language
English
Category
technology software
(54%)Domain Information
Within the commercial generic top-level domain (.com), 'sen-sapit.authentication.eu30.hana.ondemand.com' is registered and includes subdomain 'sen-sapit.authentication.eu30.hana'. Its registrable label 'ondemand' stretches across 8 characters split between three vowels and five consonants. Tokenizing the label suggests 2 words: on, demand. Median word length is 4 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 |
|---|---|---|---|
| 8 | 35.198.143.110 | Frankfurt am Main, Hesse, Germany | AS396982Google LLC |
| 7 | 130.214.144.159 | United States | AS35039SAP SE |
| 15 | 2 | - | - |
Detected Technologies2
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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