Security Scan Report: www.sotenas.se

Redirected to:
https://www.sotenas.se/
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Submitted: Jun 16, 2026, 8:14:18 AMCompleted: Jun 16, 2026, 8:15:29 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is sotenas.se and was registered NaN years ago.

Submitted URL: http://www.sotenas.se

Effective URL: https://www.sotenas.se/Redirected

AI Security Verdict

Low Risk

Confidence: 92%

3
Risk Score

Legitimate municipal site with no malicious activity detected; low risk despite heavily obfuscated JavaScript.

Risk Factors
High JavaScript obfuscation score (function() constructors, high entropy)
Unranked in Cisco Umbrella (but mitigated by domain age and official branding)
Safety Factors
Well‑established domain registered since 1996
No suspicious external links or IoC matches
No credential collection forms
Content appears to be municipal information
Domain age information unavailable

Details

Page Title

Sotenäs kommun - Sotenäs kommun

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

documentation technical

(49%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'www.sotenas.se' is registered; it also runs on subdomain 'www'. The registrable portion 'sotenas' spans 7 characters holding three vowels versus 4 consonants. Tokenizing the label suggests three words: so, ten, as. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.sotenas.se

Page Load Overview

2.05s
Total Load Time
47
HTTP Requests
4
Domains
974 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:2,814 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical49% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
49%
news media journalism
47%
government public service
40%
healthcare medical
40%
technology software
39%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4713.74.25.135Dublin, Leinster, Ireland
AS8075Microsoft Corporation
471--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DD732B1019A0B53F45A723BAE4253B0A11B6551FEB429888FEFDCB492FD2ED30E76117

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hk958A/6iQdOE8KdUKDD6Fvu1FafuyTPNX:W958A/6iMo+UKDDqvu1FafuyTPNX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78834:OAtzPdBoURAIVAPWEVgQQCaIQAwCKR2AEiCgUSIp0hELAFHUMCYNKAkJQIAAASAg+X2xIQgAROAU4jIgkQAwkiwXLAOwIABM

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:ffff003c3c00ffff
Perceptual Hash:db0fa473da842539
Difference Hash:c13878697948a616
Wavelet Hash:7d0c003c3c00ffff
Color Hash:#8a53ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data