Summary
This website contacted 115 IPs in 5 countries across 33 domains to perform 192 HTTP transactions. The main domain is framgangsakademin.se.
Submitted URL: https://framgangsakademin.se/kurs/filippa-tjarnlund-styrkan-att-vara-sig-sjalv/?course_id=3232721
AI Security Verdict
Safe Website
Confidence: 85%
Legitimate course page with no security concerns.
Safety Factors
Details
Page Title
Filippa Tjärnlund - Styrkan att vara sig själv - Framgångsakademin
Scan Type
public
Language
Swedish
Category
education learning
(73%)Domain Information
The domain 'framgangsakademin.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The registrable portion 'framgangsakademin' spans 17 characters with six vowels and eleven consonants. Segmentation suggests 5 words: f, ram, gangs, akademi, n. Average segment length settles at 3 characters. 'ramp' most often appears in Afrikaans. You may catch it in Danish and German as well.
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 |
|---|---|---|---|
| 78 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 2.18.64.220 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.186.99 | United States | AS15169GOOGLE |
| 1 | 18.66.122.115 | United States | AS16509AMAZON-02 |
| 1 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 142.250.186.163 | United States | AS15169GOOGLE |
| 1 | 172.217.23.110 | United States | AS15169GOOGLE |
| 1 | 92.123.104.189 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 192 | 115 | - | - |
Detected Technologies20
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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