Security Scan Report: www.lycksele.se

Submitted: Jan 20, 2026, 5:04:51 PMCompleted: Jan 20, 2026, 5:06:10 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 12 HTTP transactions. The main domain is lycksele.se and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established domain (>30 years old)
No credential or payment collection forms
No malicious Indicators of Compromise detected
Standard hosting without suspicious redirects
Likely HTTPS connection
Domain age information unavailable

Details

Page Title

Lycksele kommun

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

social media network

(76%)

Domain Information

The domain name 'www.lycksele.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. Count 8 characters in 'lycksele' split between 2 vowels and six consonants. Tokenizing the label suggests 3 words: lyc, ks, ele. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.73s
Total Load Time
12
HTTP Requests
3
Domains
6.8 MB
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:815 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network76% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
76%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.141.74Sweden
4216.58.206.35United States
AS15169GOOGLE
481.8.133.251Dorotea, Västerbotten County, Sweden
AS25176AC-Net AB
123--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14CF1766269F01C3F165842AD6C71B70C9E528A17CA4B4D81B1ECCAC19FDAF87596332F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:cul5pqwkhCklXH1fwX6jOwR6bfFw2fhoP0ZSw9vEelSZAtP3GnxPw4wOewOVNniD:cul5pmhKT3fWQ8o7+xHB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7947:hAUiEAANiKAIBBko8BJh8KitJAlwqEJwhgEwIl9QAVdFDilMARJJRagMlIi4bHpAkIAq0AUBEogIQOQEERBhEAAQVtBlwmFB

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:7fff8d000008ffd9
Perceptual Hash:bb87c4871b871b85
Difference Hash:dc0c597979591131
Wavelet Hash:7fff8d000008ff99
Color Hash:#e0986c

Scan History

Scan history not available

Unable to load historical scan data