Security Scan Report: www.stromsund.se

Submitted: Jan 21, 2026, 1:05:21 AMCompleted: Jan 21, 2026, 1:07:04 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 1 HTTP transaction. The main domain is stromsund.se and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established municipal domain
Standard cookie consent banner only
No suspicious forms or external links
Domain age information unavailable

Details

Page Title

Strömsunds kommun - Strömsunds kommun

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

education learning

(86%)

Domain Information

Domain 'www.stromsund.se' uses the Swedish country-code top-level domain (.se), featuring subdomain 'www'. Count 9 characters in 'stromsund' split between two vowels and seven consonants. Tokenizing the label suggests 3 words: strom, s, und. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

20.89s
Total Load Time
522
HTTP Requests
7
Domains
4.0 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:29,056 chars
Detector Agreement:80%

Website Classification

Primary Category

education learning86% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
86%
government public service
85%
healthcare medical
58%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
78193.234.96.57Strömsund, Jämtland County, Sweden
AS3301Telia Company AB
74193.234.47.11Sweden
AS8473Bahnhof AB
74142.250.185.74United States
AS15169GOOGLE
74142.250.185.99United States
AS15169GOOGLE
74193.234.47.10Sweden
AS8473Bahnhof AB
74212.102.56.179UnknownUnknown
7413.32.121.24New York, New York, United States
AS16509AMAZON-02
5227--

Detected Technologies3

JQueryv1.12.0
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B0741E32B1543923A35765ED79242F8AF0CF520DCA260A0235FE9392375FDE7D9290AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:FkhMLg/sEuxuwbXSaRO0BocyaHA6YiZS/hbAivGmWKUEUqZOTHjUclHnbUh15i3v:FkhWn2Utqo+8vO0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:344443:odiaAlQCAGAAWQMiFBlVBABHiIVo20AMicwuoUArQBkAEaIAXGKYQAEEgFIZDCKpTwggCkIAQEKyEUG4DMBAMBAGRCYyvCik

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:ff00ffdf818183ff
Perceptual Hash:bc93c33c8886ecce
Difference Hash:181c263b33272f1a
Wavelet Hash:ff00bf83818181ff
Color Hash:#78453a

Scan History

Scan history not available

Unable to load historical scan data