ScanMalware.com

Security Scan Report: sksf.se

Redirected to:
https://www.sksf.se/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/419fd9b4-326e-4b77-a592-97a5ab73f568Domain and IP registration (RDAP)/api/v1/rdap/419fd9b4-326e-4b77-a592-97a5ab73f568How often this domain was scanned/api/v1/domain/stats/sksf.seScan history for this domain/api/v1/domain/history/sksf.se?limit=15
This website contacted 16 IPs in 2 countries across 13 domains to perform 52 HTTP transactions. The main domain is sksf.se.

Submitted URL: https://sksf.se

Effective URL:
https://www.sksf.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Legitimate Swedish genealogy association site with self-branding matching its domain, no credential or payment forms, and no threat-intelligence or malware signals.

Safety Factors (5)
Self-branding matches the domain name
No credential, login, or payment fields detected
No threat-intelligence, YARA, IDS, or JavaScript behavioral hits
Established organizational content with events and a physical address
External domains are common services such as Google Fonts and WordPress stats
Domain age information unavailable

Details

Page Title

Skånes Släktforskarförbund

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'sksf.se' is registered with no subdomain. Count 4 characters in 'sksf' split between zero vowels and 4 consonants. Splitting it apart reveals 2 words: sk, sf. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sksf.se

Page Load Overview

4.14s
Total Load Time
3.5 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:13,607 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
45%
government public service
44%
news/blog
20%

Detected Features

Articles
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7109.235.174.20Sweden
AS41528Loopia AB
3192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
3142.251.152.4Google · CDNUnited States
AS15169Google LLC
3142.251.155.4Google · CDNUnited States
AS15169Google LLC
3142.251.151.4Google · CDNUnited States
AS15169Google LLC
3142.251.156.4Google · CDNUnited States
AS15169Google LLC
3142.251.153.4Google · CDNUnited States
AS15169Google LLC
3142.251.13.94Google · CDNUnited States
AS15169Google LLC
3142.251.127.154Google · CDNUnited States
AS15169Google LLC
3142.251.127.149Google · CDNUnited States
AS15169Google LLC
5216--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T167831A73C1C898BB363B97D96074B318B39B9109CF9566D5F1B8C248AB88EB1157370E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:aKdBydnypB8YyBRBakofCc09FnW7cnp94zLW8bWH38yCGElBRARuOlKc9aBYUQWj:puyP8YyBRBako614zLW8cEORu09aBWWj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:84619:QMYfKaDmBDJOtJeGAABwImQhAIBCIDECQmCAZ8yn+pgJ6bcDAASIeJoHjDAYIRKBlADwNECwJKwIP1BADQFunCALX5QAoATJ

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:7e1e1e7e04066e7e
Perceptual Hash:929ccd33c7c93926
Difference Hash:40bdbdd88c89dcf0
Wavelet Hash:3c5c5e5e444c6c7c
Color Hash:#c3c587

Other Hashes

Crop Resistant:40bdbdd88c89dcf0,373676dad264291b,99b9e4e91812a240

Scan History

Scan history not available

Unable to load historical scan data