Security Scan Report: www.gotene.se

Submitted: Jan 14, 2026, 4:52:00 AMCompleted: Jan 14, 2026, 4:54:30 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 57 HTTP transactions. The main domain is gotene.se and was registered NaN years ago.

Submitted URL: https://www.gotene.se/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears to be a legitimate municipal website with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
Official municipal branding and navigation
Domain age information unavailable

Details

Page Title

Götene kommun - Götene kommun

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

government public service

(51%)

Domain Information

Domain 'www.gotene.se' uses the Swedish country-code top-level domain (.se); it also runs on subdomain 'www'. Count 6 characters in 'gotene' holding 3 vowels versus three consonants. Word splitting yields two words: got, ene. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.gotene.se/

Page Load Overview

47.66s
Total Load Time
47
HTTP Requests
3
Domains
249 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:7,357 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
51%
adult content
26%
news/blog
20%
forum
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2489.42.141.228Karlskrona, Blekinge County, Sweden
AS42695Cleura AB
2383.223.9.29Lidköping, Västra Götaland County, Sweden
AS42318FastBit AB
472--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EAE355119099653B322BE6DAB4B4970DA0A2C61FDF860407FFFD26956BF3DD0374A128

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5+ZEa61kuAoKIhha1aTMZnxF7eNGMr3N31:5+Z9s7d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:149892:FkJFLRKLEAibQE1RxasAIIucI4ogACKgowIDIhGEws0qMI0GgJlBssWCSHGhEIQwRCjJkkIEQqwkCBokECEwJoGbMo5ZAEAX

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

Average Hash:bfffefffdfff9181
Perceptual Hash:aed16e91649b651a
Difference Hash:43631b1b3d073167
Wavelet Hash:b9ff838387e78101
Color Hash:#1f6b93

Other Hashes

Scan History

Scan history not available

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