Summary
API
This website contacted 4 IPs in 2 countries across 3 domains to perform 13 HTTP transactions. The main domain is sakerhetsdagen.se and was registered 18 years ago.
Submitted URL: https://sakerhetsdagen.se
AI Security Verdict
Safe Website
Confidence: 82%
A long-established Swedish cybersecurity event site (Säkerhetsdagen) with self-branded content, no forms, and no threat-intelligence, malware, or IDS findings.
Safety Factors (5)
Details
Page Title
Säkerhetsdagen
Scan Type
public
Domain Name Analysis
Domain 'sakerhetsdagen.se' uses the Swedish country-code top-level domain (.se) with no subdomain. The core label 'sakerhetsdagen' covers 14 characters with five vowels and nine consonants. Breaking it apart gives 5 words: saker, he, ts, d, agen. Median word length comes out to 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 |
|---|---|---|---|
| 4 | 82.99.51.81 | Sweden | AS12552GlobalConnect AB |
| 3 | 142.251.14.95Google · CDN | United States | AS15169Google LLC |
| 3 | 142.251.13.94Google · CDN | United States | AS15169Google LLC |
| 3 | 142.250.154.95Google · CDN | United States | AS15169Google LLC |
| 13 | 4 | - | - |
Detected Technologies8
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
Scan history not available
Unable to load historical scan data