Summary
API
Submitted URL: http://knife-whatsapp.com
AI Security Verdict
Moderate Risk
Confidence: 92%
This disposable or newly registered address only forwards visitors to a well-known site, a common way to hide a scam from security scanners — rated moderate risk on that basis.
Safety Factors (1)
Details
Page Title
Suche – Microsoft Bing
Scan Type
public
Domain Name Analysis
The domain 'knife-whatsapp.com' uses the commercial generic top-level domain (.com). Count 14 characters in 'knife-whatsapp' holding 4 vowels versus 9 consonants; it also includes one hyphen. It segments into four words: knife, what, s, app. Expect 3.5 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 |
|---|---|---|---|
| 31 | 23.36.162.88Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 14 | 156.234.58.211 | Hong Kong, Hong Kong | AS138415Yancy Limited |
| 14 | 23.207.210.139Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 14 | 184.24.77.49Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 14 | 184.28.180.51Akamai · CDN | Berlin, State of Berlin, Germany | AS16625Akamai Technologies, Inc. |
| 14 | 150.171.109.101Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 14 | 150.171.27.10Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 14 | 4.150.223.96Azure · CLOUD | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 14 | 23.207.210.132Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 14 | 23.207.210.85Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 437 | 30 | - | - |
Detected Technologies2
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