Security Scan Report: www.monsteras.se

Submitted: Jan 22, 2026, 8:42:34 PMCompleted: Jan 22, 2026, 8:43:48 PMpubliccompleted
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Summary

This website contacted 11 IPs in 3 countries across 11 domains to perform 1 HTTP transaction. The main domain is monsteras.se and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Well‑established domain (>30 years old)
No malicious Indicators of Compromise
No login or payment forms
Standard cookie consent banner only
No suspicious JavaScript or malware patterns
Domain age information unavailable

Details

Page Title

Mönsterås kommun

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

education learning

(96%)

Domain Information

The domain name 'www.monsteras.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'www'. The core label 'monsteras' covers 9 characters containing three vowels alongside six consonants. Splitting it apart reveals two words: monster, as. Median word length comes out to 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.75s
Total Load Time
66
HTTP Requests
12
Domains
3.1 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:15,918 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning96% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
96%
government public service
84%
entertainment media
57%
healthcare medical
43%
documentation technical
40%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.18.0.22United States
AS13335CLOUDFLARENET
6184.24.77.154United States
6142.251.141.131United States
AS15169GOOGLE
6195.198.17.51Ålem, Kalmar, Sweden
AS3301Telia Company AB
6142.250.201.74United States
AS15169GOOGLE
6142.250.185.170United States
AS15169GOOGLE
6213.212.42.49Sweden
AS61207Hostek AB
646.21.106.179Stockholm, Stockholm County, Sweden
AS42708Glesys AB
6195.181.175.41UnknownUnknown
6184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6611--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T140F34152E186102F076AF3C818957B1424DB442AE993D9D2B2FF153DFBCEDE0292562F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:mappXSng8eRm1wZ5eJLNFgUkePT8Apnn/W/bZlgM/n+gSY:5rXSngCi5WFDf8AuZlgAn+XY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:168042:lmhZASABwnwloAS0iJhQmqiM1UQvkCCT5gTBWYCTBEBQMgghAwEAAzQkCZAoMVCBQmIDEVgsQUQUsgLAAoT5CkEJyBMwoRUB

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:00181818183dffc3
Perceptual Hash:881c77d763928d9c
Difference Hash:ccb2b3b3b3b3334f
Wavelet Hash:1c18181818ffffe3
Color Hash:#4c2d86

Scan History

Scan history not available

Unable to load historical scan data