Summary
This website contacted 50 IPs in 3 countries across 14 domains to perform 87 HTTP transactions. The main domain is finanzen.net and was registered 26 years ago.
Submitted URL: https://www.finanzen.net/aktien/bloom_energy-aktie
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate financial information site with no security concerns.
Safety Factors
Details
Page Title
Access Denied
Scan Type
public
Language
German
Category
forum community discussion
(74%)Domain Information
The domain name 'www.finanzen.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'www'. The registrable portion 'finanzen' spans 8 characters with three vowels and five consonants. Segmentation suggests 2 words: fina, nzen. Expect four characters per word on average. 'fina' most often appears in Basque. You may catch it in Catalan and Swedish as well.
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 |
|---|---|---|---|
| 38 | 91.215.100.76 | Germany | AS43407INFOnline GmbH |
| 1 | 52.222.136.80 | United States | AS16509AMAZON-02 |
| 1 | 2.21.65.17 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.36.162.26 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 2.21.65.16 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 51.124.71.152 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 104.18.2.9 | United States | AS13335CLOUDFLARENET |
| 1 | 136.243.25.119 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 1 | 2.19.96.50 | Düsseldorf, North Rhine-Westphalia, Germany | AS20940Akamai International B.V. |
| 1 | 51.137.9.206 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 87 | 50 | - | - |
Page Statistics
Detected Technologies4
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
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