Security Scan Report: tomelilla.se

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Submitted: Jan 7, 2026, 12:13:23 PMCompleted: Jan 7, 2026, 12:14:34 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 62 HTTP transactions. The main domain is tomelilla.se and was registered NaN years ago.

Submitted URL: https://tomelilla.se/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal site with no security concerns.

Safety Factors
Established municipal website (Tomelilla kommun)
No credential or payment collection forms
No external domains or suspicious links
Domain age information unavailable

Details

Page Title

Tomelilla kommun

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

blog personal website

(91%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'tomelilla.se' is registered and has no subdomain. The second-level label 'tomelilla' is 9 characters long with 4 vowels and five consonants. Segmentation suggests two words: to, melilla. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tomelilla.se/

Page Load Overview

3.48s
Total Load Time
39
HTTP Requests
3
Domains
721 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:4,384 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website91% confidence
Type: spa
Method: ml+structural

All Detected Categories

blog personal website
91%
government public service
91%
corporate business
80%
education learning
64%
adult content
41%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20185.24.134.203Stockholm, Stockholm County, Sweden
AS48579ELASTX AB
19185.84.52.19Sweden
AS41174SiteVision AB
392--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19DA3B4161490753F926391BAF1F85B5AA5B4C91BEE490C4273FC82D9EFD2FC01E93229

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3m2AiBEeUvGsp5buQBZYmMSjlIN1u+aiWDuXRJm4wlw5B:WJiBgv9pAmMSjlI3m4wlw5B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:101043:MFIBZKDFII8SopBy5Ao0sRIAQYMBWG4KQMV2AUoiEABBjYwQM0ACGi2+AUYApICVLFBERBAv4SC0EshAi0EeJUUhxcBVSmAl

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:02ffff000000ffff
Perceptual Hash:b847b52d3d270c3c
Difference Hash:26c0b51631b11e19
Wavelet Hash:00ffff000000ffff
Color Hash:#93c587

Scan History

Scan history not available

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