Security Scan Report: arcdajm.se

Redirected to:
https://www.kunskaptillhalsa.se/
Site favicon
Submitted: Oct 5, 2026, 2:10:19 AMCompleted: Oct 5, 2026, 2:11:18 AMpubliccompleted

This website contacted 20 IPs in 3 countries across 16 domains to perform 39 HTTP transactions. The main domain is kunskaptillhalsa.se and was registered 21 years ago.

Submitted URL: https://arcdajm.se

Effective URL:

https://www.kunskaptillhalsa.se/
Redirected

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Swedish health-education site (courses, lectures, books) reached via a one-hop cross-domain redirect. No forms, no credential/payment collection, no impersonation and no threat-intel hits; the age/rank figures belong to the redirecting entry domain, not this page. Nothing malicious observed.

Safety Factors (5)
No credential, login or payment forms anywhere on the page
Self-branding only — page name matches its own final domain, no other entity's brand is claimed
No Indicators of Compromise, YARA, kit-roster or IDS hits
Cross-origin requests are limited to well-known analytics/advertising endpoints (Google Analytics, DoubleClick) with no credential handling
Machine classifier reports only benign categories (healthcare/medical, news, public service)
Domain age information unavailable

Details

Page Title

Hem

Scan Type

public

Domain Name Analysis

Domain 'arcdajm.se' uses the Swedish country-code top-level domain (.se). The second-level label 'arcdajm' is 7 characters long containing 2 vowels alongside five consonants. Splitting it apart reveals four words: arc, da, j, m. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arcdajm.se

Page Load Overview

6.82s
Total Load Time
5.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:2,135 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical48% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
48%
news media journalism
41%
government public service
39%
finance banking
36%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20193.234.30.171Sweden
AS43853AxByte Internet Services AB
134.248.118.43Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
13.160.156.65Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.251.20.97Google · CDNUnited States
AS15169Google LLC
13.5.73.20Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
152.222.250.69Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
152.209.163.243Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
13.160.156.42Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
13.5.72.73Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
3920--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D832099CAE94B170F21353CE33EF342A112491D3240AC684FA4C6EE9AF0B6DD6997F55

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GXHNsGeTHQpD+da6+8QPUV7lrDyjFrxzB436cnsEJTYh1LdL9xk/ema:GXX+/zV7SFZB437sEJTY/LXS/en

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11506:UEkQYWgmqMaoEIW7QQBDsDpAQSkjUikYAogIIjAAcDE8hYEAhyBBQYJkSNArVJQRkKKAwAIezCCfAMZQTBCNZSECM4IAhnpx

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:ffffff81ffffffff
Perceptual Hash:bf2fc0c03f3fc0c0
Difference Hash:0000012301000000
Wavelet Hash:ffffff8100000000
Color Hash:#6ce083

Other Hashes

Crop Resistant:0000012301000000

Scan History

Scan history not available

Unable to load historical scan data