Summary
API
Submitted URL: https://klasskalender.se
AI Security Verdict
Low Risk
Confidence: 62%
Swedish school traffic-education calendar on trafikkalendern.se. No forms, no credential or payment collection, no impersonation, no malware/YARA/IDS hits. Only a weak single-source abuse-reputation tag on the entry domain and right-click blocking.
Risk Factors (1)
Safety Factors (4)
Details
Page Title
Klasskalendern – Trafikkalendern
Scan Type
public
Domain Name Analysis
The domain name 'klasskalender.se' uses the Swedish country-code top-level domain (.se). Its registrable label 'klasskalender' stretches across 13 characters holding 4 vowels versus 9 consonants. Segmentation suggests three words: klass, ka, lender. Median word length comes out to 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 |
|---|---|---|---|
| 11 | 172.232.128.101 | Stockholm, Stockholm County, Sweden | AS63949Akamai Connected Cloud |
| 4 | 194.9.94.85 | Sweden | AS39570Loopia AB |
| 4 | 142.251.13.95Google · CDN | United States | AS15169Google LLC |
| 4 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 4 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 4 | 3.171.214.55Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 4 | 142.251.14.102Google · CDN | United States | AS15169Google LLC |
| 4 | 142.250.154.94Google · CDN | United States | AS15169Google LLC |
| 4 | 157.240.0.35Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 4 | 216.239.32.36Google · CDN | United States | AS15169Google LLC |
| 71 | 16 | - | - |
Detected Technologies10
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