Summary
This website contacted 124 IPs in 6 countries across 32 domains to perform 253 HTTP transactions. The main domain is framgangsakademin.se and was registered NaN years ago.
Submitted URL: https://framgangsakademin.se/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
Framgångsakademin
Scan Type
public
Language
Swedish
Category
healthcare medical
(51%)Domain Information
Within the Swedish country-code top-level domain (.se), 'framgangsakademin.se' is registered and has no subdomain. The core label 'framgangsakademin' covers 17 characters split between 6 vowels and 11 consonants. Splitting it apart reveals five words: f, ram, gangs, akademi, n. The median word length lands at 3 characters. Most frequently, 'ramp' shows up in Afrikaans. Usage also turns up in Danish and German contexts.
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 |
|---|---|---|---|
| 174 | 172.67.178.199 | United States | AS13335CLOUDFLARENET |
| 9 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 8 | 92.123.104.175 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 146.75.120.217 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 4 | 91.228.74.200 | United Kingdom | AS16509AMAZON-02 |
| 4 | 216.58.206.72 | United States | AS15169GOOGLE |
| 3 | 157.240.253.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 185.111.111.156 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 3 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 142.250.186.99 | United States | AS15169GOOGLE |
| 253 | 124 | - | - |
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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