Security Scan Report: www.w.lst.se

Redirected to:
https://www.lansstyrelsen.se/dalarna
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Submitted: May 28, 2026, 2:19:38 PMCompleted: May 28, 2026, 2:20:52 PMpubliccompleted
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Summary

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

Submitted URL: https://www.w.lst.se

Effective URL: https://www.lansstyrelsen.se/dalarnaRedirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate government page with no malicious indicators.

Safety Factors
Long‑standing government domain
Content classified as government public service (82% confidence)
No forms collecting sensitive data
No network IDS alerts or malware detections
Domain age information unavailable

Details

Page Title

Dalarna | Länsstyrelsen Dalarna

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

government public service

(82%)

Domain Information

Domain 'www.w.lst.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'www.w'. Count 3 characters in 'lst' holding 0 vowels versus 3 consonants. Word splitting yields 2 words: l, st. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.w.lst.se

Page Load Overview

4.95s
Total Load Time
83
HTTP Requests
6
Domains
1.4 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:6,070 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service82% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
82%
forum
25%

Detected Features

Search
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29185.195.93.84Sweden
AS42649Baffin Bay Networks AB
27194.9.94.86Sweden
AS39570Loopia AB
27103.81.140.95Sweden
AS42695Cleura AB
833--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DC24D73C4095A9BEB52A19E5E4255EBE32331116B7545C81FAEDEE2C2783BD24E330D3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:C9BcCyP79vDCSbzlYNJzzy5rrDHEsjbCdk2lnaXfAG1L:0y5XfAG1L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:222403:EAIEMFhZECigA2ARIIyisRgARGYZwVwUEEMLhyZgQiEF0ICICRADkoQJAspojjgUDY5AKgAIECJoGiDQtiBAQEfEYEg9TWEj

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:ffffffff838181ff
Perceptual Hash:ed92926d92c66d32
Difference Hash:1a9a23410b23179c
Wavelet Hash:ffcfbdff81810000
Color Hash:#783a65

Scan History

Scan history not available

Unable to load historical scan data