ScanMalware.com

Security Scan Report: sfsd.se

Redirected to:
https://swenurse.se/diabetesnurse/
Site favicon
Submitted: Oct 2, 2026, 10:30:08 PMCompleted: Oct 2, 2026, 10:31:01 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/0a84118b-07b7-406b-b5db-de3ed7aa6311Domain and IP registration (RDAP)/api/v1/rdap/0a84118b-07b7-406b-b5db-de3ed7aa6311Certificate Transparency/api/v1/ct/swenurse.seHow often this domain was scanned/api/v1/domain/stats/sfsd.seScan history for this domain/api/v1/domain/history/sfsd.se?limit=15

This website contacted 4 IPs in 2 countries across 5 domains to perform 95 HTTP transactions. The main domain is swenurse.se and was registered 14 years ago.

Submitted URL: https://sfsd.se

Effective URL:

https://swenurse.se/diabetesnurse/
Redirected

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Swedish diabetes-nursing association page reached via a cross-domain redirect; self-branded, no credential or payment forms, and no threat-intel, YARA or IDS hits. No concrete malicious signal found.

Safety Factors (5)
No credential or payment fields on the page
Self-branding: title/meta name matches the site's own association brand
No threat-intelligence, YARA, kit-roster or IDS matches
No cross-origin form submission or credential exfiltration detected
Content is a non-profit professional association (diabetes nursing) with no deceptive or urgent language
Domain age information unavailable

Details

Page Title

Svensk förening för sjuksköterskor i Diabetesvård - SFSD

Scan Type

public

Domain Name Analysis

The domain 'sfsd.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Its registrable label 'sfsd' stretches across 4 characters split between zero vowels and four consonants. Word splitting yields 2 words: sf, sd. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sfsd.se

Page Load Overview

1.05s
Total Load Time
3.4 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Text Length:167 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical53% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2693.188.2.53Sweden
AS39570Loopia AB
23185.84.52.241Sweden
AS41174SiteVision AB
23104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
23142.251.20.97Google · CDNUnited States
AS15169Google LLC
954--

Detected Technologies7

SiteVision
100%
Open-Graph-Protocolvwebsite
100%
Google-AnalyticsvUniversal
100%
Google Tag Manager
50%
Cloudflare
50%
jQuery
20%
cdnjs
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103612339288C4D7B00124BD071B4774E259FCFB9E8279045FAFB898616E2D89EC59277

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:pfhUZ1wtkIqPJ/quKrvBrlOUlT6rwQ5jXfB2N:ZCvwtklVKrprlOQT6rwSTBa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3245:hAAAAQAAJAQJkAUAQEARAACJAEKCAIiAAAAEQAAAACgYpAAEAINkAAJqIABAAhACFhQBAIIAACoBAAIAgAgIEiQLAYEAJhAE

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:3f3fffffffffffff
Perceptual Hash:8101030307fffefe
Difference Hash:c0c0000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#53ac62

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data