Security Scan Report: lyckoforskning.se

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Submitted: Completed: publiccompleted
This website contacted 3 IPs in 2 countries across 3 domains to perform 17 HTTP transactions. The main domain is lyckoforskning.se.

Submitted URL: https://lyckoforskning.se

AI Security Verdict

Safe Website

Confidence: 90%

0
Risk Score

Legitimate established Swedish site about happiness research lectures. No forms, phishing indicators, malware, or threat-intel matches found.

Safety Factors (5)
Established domain registered in 2008
No credential or payment collection on the page
No malicious JavaScript behavior or cross-origin credential exfiltration
Only standard font CDNs loaded externally
Self-branded content consistent with the domain name and topic
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Domain Name Analysis

Domain 'lyckoforskning.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Count 14 characters in 'lyckoforskning' split between three vowels and eleven consonants. Word splitting yields 5 words: lyc, ko, for, sk, ning. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

my Har bokar du Sveriges mest inspirerande forelasningar om @ _...Lyckoforskning ue “SG Nelo oy Yo ON Cass Sas: . oo yg >, ae _ 2 ve ee -

Page Load Overview

1.59s
Total Load Time
1.7 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:12,840 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7193.234.30.179Sweden
AS43853AxByte Internet Services AB
574.125.29.95Google · CDNUnited States
AS15169Google LLC
5142.251.14.94Google · CDNUnited States
AS15169Google LLC
173--

Detected Technologies3

JQueryv3.5.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5431122D317182A51BED1DAF0A77B162481470C93464CB1A7BD8B7BBDCFD347A4229E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:MiCNJ/ErvleZ0euOeZ0euTeZveukeZ0eudeZveuPeZveuoeZJeu/eZ0eupezK4ei:MiCNJ8rn+U4u8LhxS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56850:6AgoSuAaQhtDJAKSNBAKigYpGlARmSGsAGAKScACYAyCqBAULcAapJEWhGWCohgACAAQDqwByLERWICIRYQmxkAEAB0gVDSM

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:ff0100e0e09e1e03
Perceptual Hash:8fe0b89de0949da3
Difference Hash:865959c544707d5f
Wavelet Hash:ff0101f0f29f1f03
Color Hash:N/A

Other Hashes

Crop Resistant:865959c544707d5f

Scan History

Scan history not available

Unable to load historical scan data