Summary
This website contacted 26 IPs in 2 countries across 7 domains to perform 51 HTTP transactions. The main domain is internetstiftelsen.se.
Submitted URL: https://www.internetstiftelsen.se/
Effective URL: https://internetstiftelsen.se/Redirected
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site of the Swedish Internet Foundation with no security concerns.
Safety Factors
Details
Page Title
Internetstiftelsen
Scan Type
public
Language
Swedish
Category
documentation technical
(57%)Domain Information
Domain 'www.internetstiftelsen.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'www'. The registrable portion 'internetstiftelsen' spans 18 characters split between six vowels and 12 consonants. Breaking it apart gives five words: internet, s, tift, else, n. The median word length lands at 4 characters. 'internet' most often appears in Afrikaans. You may catch it in Dutch and Chinese (Zhuyin) 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 |
|---|---|---|---|
| 26 | 159.253.30.207 | Stockholm, Stockholm County, Sweden | AS42708GleSYS AB |
| 1 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 1 | 194.54.164.110 | Falkenberg, Halland County, Sweden | AS42708GleSYS AB |
| 1 | 172.64.155.119 | United States | AS13335CLOUDFLARENET |
| 1 | 18.245.60.56 | United States | AS16509AMAZON-02 |
| 1 | 188.126.93.154 | Stockholm, Stockholm County, Sweden | AS42708GleSYS AB |
| 1 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 1 | 2a06:98c1:310d::ac40:9b77 | United States | Unknown |
| 1 | 2600:9000:2646:1400:7:ea59:6a00:93a1 | United States | Unknown |
| 1 | 18.245.60.90 | United States | Unknown |
| 51 | 26 | - | - |
Detected Technologies5
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
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