Summary
API
Submitted URL: https://redfood24.de
AI Security Verdict
Safe Website
Confidence: 85%
Established German CBD/supplement shop with its own brand and a genuine product catalogue; no credential or payment harvesting forms, no impersonation, no malware or threat-intel hits.
Safety Factors (6)
Details
Page Title
CBD Öl, Cannabisöl & Tropfen » Bestes CBD-ÖL kaufen
Scan Type
public
Domain Name Analysis
The domain 'redfood24.de' uses the German country-code top-level domain (.de) with no subdomain. The second-level label 'redfood24' is 9 characters long split between 3 vowels and four consonants; bonus characters include two digits. Breaking it apart gives three words: red, food, 24. Median word length is three characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
All Detected Languages
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 154 | 178.20.101.103 | Germany | AS8648dogado GmbH |
| 8 | 146.0.228.210 | Frankfurt am Main, Hesse, Germany | AS29066velia.net Internetdienste GmbH |
| 7 | 143.204.181.128Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 6 | 172.67.74.129Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 79.127.211.89Datacamp · CDN | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 185.5.82.77 | Germany | AS20546SOPRADO GmbH |
| 3 | 5.9.136.231 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 2 | 13.226.244.31Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 2 | 18.66.147.54Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 2 | 52.29.232.52Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 247 | 97 | - | - |
Detected Technologies20
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