Summary
This website contacted 26 IPs in 3 countries across 12 domains to perform 512 HTTP transactions. The main domain is budi.se and was registered NaN years ago.
Submitted URL: https://budi.se/
Effective URL: https://www.budi.se/Redirected
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate auction site with no apparent security threats.
Safety Factors
Details
Page Title
Auktioner online - Budi Auktioner
Scan Type
public
Language
Swedish
Category
blog personal website
(81%)Domain Information
The domain name 'budi.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The second-level label 'budi' is 4 characters long split between 2 vowels and 2 consonants. Segmentation suggests 2 words: bud, i. Median word length is 2 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 |
|---|---|---|---|
| 485 | 104.26.6.170 | United States | AS13335CLOUDFLARENET |
| 37 | 23.215.20.211 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 19 | 104.26.7.170 | United States | AS13335CLOUDFLARENET |
| 19 | 2.20.142.98 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 19 | 2606:4700:20::ac43:4ad4 | United States | AS13335CLOUDFLARENET |
| 19 | 2606:4700:20::681a:6aa | United States | AS13335CLOUDFLARENET |
| 19 | 2a02:26f0:7100:8a0::f09 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 19 | 2a02:26f0:3500:18::1724:a29a | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 19 | 2620:1ec:46::44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 19 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 512 | 26 | - | - |
Detected Technologies2
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
Scan History
Scan history not available
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