Summary
This website contacted 11 IPs in 4 countries across 12 domains to perform 103 HTTP transactions. The main domain is billerud.com and was registered NaN years ago.
Submitted URL: https://Billerud.com
Effective URL: https://www.billerud.com/Redirected
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
Billerud – Packaging tomorrow
Scan Type
public
Language
English
Category
technology software
(64%)Domain Information
The domain 'Billerud.com' uses the commercial generic top-level domain (.com). The registrable portion 'billerud' spans 8 characters split between 3 vowels and five consonants. Breaking it apart gives 3 words: bill, eru, d. Median word length comes out to 3 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 |
|---|---|---|---|
| 20 | 23.56.205.206 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 11 | 104.18.33.225 | United States | AS13335CLOUDFLARENET |
| 11 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 11 | 142.251.208.10 | United States | AS15169GOOGLE |
| 11 | 16.171.121.204 | Stockholm, Stockholm County, Sweden | AS16509AMAZON-02 |
| 11 | 2.23.7.33 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 104.16.40.28 | United States | AS13335CLOUDFLARENET |
| 11 | 18.245.60.99 | United States | AS16509AMAZON-02 |
| 11 | 20.50.88.234 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 46.246.44.33 | Falkenberg, Halland County, Sweden | AS42708Glesys AB |
| 130 | 11 | - | - |
Detected Technologies6
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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