Summary
This website contacted 15 IPs in 2 countries across 7 domains to perform 98 HTTP transactions. The main domain is gotland.se.
Submitted URL: https://gotland.se/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate regional government site with no detected security threats.
Safety Factors
Details
Page Title
Region Gotland
Scan Type
public
Language
Swedish
Category
forum community discussion
(100%)Domain Information
Within the Swedish country-code top-level domain (.se), 'gotland.se' is registered. The core label 'gotland' covers 7 characters holding 2 vowels versus 5 consonants. Breaking it apart gives one word: gotland. Median word length comes out to 7 characters. Most frequently, 'gotland' shows up in Catalan. It also appears in Danish and Malay 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 |
|---|---|---|---|
| 14 | 195.181.175.40 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 6 | 185.24.134.203 | Stockholm, Stockholm County, Sweden | AS48579ELASTX AB |
| 6 | 185.195.94.17 | Sweden | AS42649Baffin Bay Networks AB |
| 6 | 89.42.141.228 | Karlskrona, Blekinge County, Sweden | AS42695Cleura AB |
| 6 | 195.181.170.19 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 6 | 2a02:6ea0:c700::101 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 6 | 2a02:6ea0:c77a::48 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 6 | 2a02:6ea0:c700::21 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 6 | 2a02:6ea0:c700::19 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 6 | 37.19.194.80 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 98 | 15 | - | - |
Detected Technologies6
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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