Summary
This website contacted 9 IPs in 2 countries across 5 domains to perform 61 HTTP transactions. The main domain is govenuemagazine.com and was registered NaN years ago.
Submitted URL: https://www.govenuemagazine.com/billie-eilish-announces-hit-me-hard-and-soft-the-tour/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate site with no apparent security threats.
Safety Factors
Details
Page Title
www.govenuemagazine.com
Scan Type
public
Language
English
Category
news/blog
(100%)Domain Information
Domain 'www.govenuemagazine.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The second-level label 'govenuemagazine' is 15 characters long holding eight vowels versus 7 consonants. It segments into three words: go, venue, magazine. Median word length is five characters. 'go' is most common in Polish usage. It also appears in Chinese (Pinyin) and English contexts.
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 |
|---|---|---|---|
| 13 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 192.252.146.32 | Waltham, Massachusetts, United States | AS8739ICDSoft Ltd. |
| 6 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 172.217.18.10 | United States | AS15169GOOGLE |
| 6 | 142.250.185.99 | United States | AS15169GOOGLE |
| 6 | 2a03:2880:f177:185:face:b00c:0:25de | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 2a00:1450:4001:828::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 2a03:2880:f084:105:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 2a00:1450:4001:80f::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 61 | 9 | - | - |
Detected Technologies8
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
Scan History
Scan history not available
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