Summary
API
This website contacted 3 IPs in 2 countries across 2 domains to perform 50 HTTP transactions. The main domain is sekosakassa.se.
Submitted URL: https://sekosakassa.se
Effective URL:
AI Security Verdict
Low Risk
Confidence: 75%
Swedish unemployment-fund (a-kassa) site on its matching domain with self-branding, no credential or payment forms, and no threat-intel, YARA or IDS hits. Unknown domain age is a neutral signal; nothing malicious found.
Safety Factors (4)
Details
Page Title
Sekos a-kassa
Scan Type
public
Domain Name Analysis
Within the Swedish country-code top-level domain (.se), 'sekosakassa.se' is registered without a subdomain. The second-level label 'sekosakassa' is 11 characters long holding five vowels versus 6 consonants. Splitting it apart reveals four words: seko, sakas, s, a. Median word length comes out to 2.5 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 |
|---|---|---|---|
| 18 | 104.18.39.166Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 16 | 217.114.94.2 | Sweden | AS30811Optimizely AB |
| 16 | 172.64.148.90Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 50 | 3 | - | - |
Detected Technologies4
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