Summary
This website contacted 9 IPs in 2 countries across 10 domains to perform 96 HTTP transactions. The main domain is help.sap.com and was registered NaN years ago.
Submitted URL: https://wiki.scn.sap.com
Effective URL: https://help.sap.com/docs/SUPPORT_CONTENTRedirected
The Cisco Umbrella rank of the primary domain is #13,211 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
The site appears legitimate with no malicious signals or phishing indicators.
Safety Factors
Details
Page Title
Support Content | SAP Help Portal | SAP Help Portal
Scan Type
public
Language
English
Category
technology software
(95%)Domain Information
The domain 'wiki.scn.sap.com' uses the commercial generic top-level domain (.com) with subdomain 'wiki.scn'. The registrable portion 'sap' spans 3 characters containing 1 vowel alongside two consonants. Tokenizing the label suggests one word: sap. 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 | 23.36.162.216 | United States | |
| 9 | 23.50.131.136 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 99.84.152.36 | United States | AS16509Amazon.com, Inc. |
| 9 | 23.197.133.166 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 9 | 151.101.1.229 | United States | AS54113Fastly, Inc. |
| 9 | 3.120.220.137 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 9 | 23.52.181.12 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 9 | 18.66.122.97 | United States | Unknown |
| 9 | 130.214.229.153 | Frankfurt am Main, Hesse, Germany | AS35039SAP SE |
| 89 | 9 | - | - |
Detected Technologies3
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
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