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Security Scan Report: sundamoten.se

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/08542d57-2ca6-4349-a048-f7a0974aa167Domain and IP registration (RDAP)/api/v1/rdap/08542d57-2ca6-4349-a048-f7a0974aa167How often this domain was scanned/api/v1/domain/stats/sundamoten.seScan history for this domain/api/v1/domain/history/sundamoten.se?limit=15
This website contacted 7 IPs in 3 countries across 5 domains to perform 53 HTTP transactions. The main domain is sundamoten.se.

Submitted URL: https://sundamoten.se

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate conference-venue site for IOGT-NTO in Luleå: own brand, no forms, no threat-intel or malware signals. Unknown domain age is neutral here.

Safety Factors (5)
Self-branding consistent with the domain name
No forms of any kind, so no credential or payment harvesting surface
Complete and verifiable Swedish organisational contact details and organisation number
Standard cookie-consent implementation (Cookiebot) with detailed disclosures
No Indicators of Compromise, malware, or reputation warnings in scanner data
Domain age information unavailable

Details

Page Title

Sunda möten – Konferenslokaler i hjärtat av Luleå

Scan Type

public

Domain Name Analysis

You're looking at domain 'sundamoten.se' on the Swedish country-code top-level domain (.se) without a subdomain. The second-level label 'sundamoten' is 10 characters long holding 4 vowels versus six consonants. Tokenizing the label suggests two words: sunda, moten. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sundamoten.se

Page Load Overview

2.28s
Total Load Time
2.5 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv-SE
Text Length:8,877 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network49% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
49%
government public service
40%
technology software
34%
finance banking
31%
adult content
29%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1193.188.2.53Sweden
AS39570Loopia AB
723.36.162.212Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7142.251.110.97Google · CDNUnited States
AS15169Google LLC
723.45.103.56Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
7216.239.32.36Google · CDNUnited States
AS15169Google LLC
723.36.162.200Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7216.239.34.36Google · CDNUnited States
AS15169Google LLC
537--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T179A3B67270D6316F0B6BCBF42251E30B99E24689C98165C5E0F6877C2DC2D16ACFE267

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Eo5JB8KPJKhBgBstNv0hvGv6pbCYBdhwdfZC3fZC2pQbypOa:ZzB1PohUvMa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:107007:u4UGIISNIIAVOAYoAQSMAAYBJFtCYNjcGSQxwpiFkAMXEzTWUpgEUxLUEESUAgB4RC1EjToOUBwDDUAMjYEAA3INEBIoEQAs

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:020002000000ffff
Perceptual Hash:810da95abd7313e5
Difference Hash:b2f6d66464e89918
Wavelet Hash:1b13223c040cffff
Color Hash:#409fbf

Other Hashes

Crop Resistant:b2f6d66464e89918,b2f6d6c66464e9d9

Scan History

Scan history not available

Unable to load historical scan data