Summary
This website contacted 14 IPs in 2 countries across 7 domains to perform 42 HTTP transactions. The main domain is vulkane.net and was registered NaN years ago.
Submitted URL: https://www.vulkane.net/blogmobil/hayli-gubbi-schildvulkan-in-der-danakil-depression/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news site with no security concerns
Safety Factors
Details
Page Title
Hayli Gubbi - Schildvulkan in der Danakil-Depression - Vulkane Net Newsblog
Scan Type
public
Language
German
Category
news/blog
(70%)Domain Information
The domain 'www.vulkane.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'www'. The core label 'vulkane' covers 7 characters holding three vowels versus four consonants. It segments into 3 words: v, ul, kane. Median word length is two 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 |
|---|---|---|---|
| 27 | 81.169.145.79 | Germany | AS6724Strato GmbH |
| 6 | 142.250.185.174 | United States | AS15169GOOGLE |
| 3 | 142.250.185.74 | United States | AS15169GOOGLE |
| 3 | 2a00:1450:4001:82f::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 3 | 2a01:238:20a:202:1079:: | Germany | AS6724Strato GmbH |
| 3 | 2a00:1450:4001:81c::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 3 | 2a00:1450:4001:812::200e | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 3 | 2a00:1450:4001:80f::2002 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 3 | 2a00:1450:4001:80e::2001 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 2 | 142.250.184.227 | United States | AS15169GOOGLE |
| 42 | 14 | - | - |
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
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