Security Scan Report: medicaljournalssweden.se

Redirected to:
https://www.mjspublishing.se/
Site favicon
Submitted: Sep 28, 2026, 5:30:11 AMCompleted: Sep 28, 2026, 5:30:50 AMpubliccompleted

This website contacted 18 IPs in 3 countries across 14 domains to perform 80 HTTP transactions. The main domain is mjspublishing.se and was registered 7 years ago.

Submitted URL: https://medicaljournalssweden.se

Effective URL:

https://www.mjspublishing.se/
Redirected

The Cisco Umbrella rank of the primary domain is #683,283 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Self-branded open-access academic publisher (MJS Publishing / Medical Journals Sweden) with no forms, no impersonation and no malware signals; the entry-domain redirect is a routine domain move. Low risk.

Safety Factors (4)
Content is consistent with a genuine open-access journal publisher (Creative Commons licensing, learned-society ownership)
No credential, payment, or login forms present anywhere on the page
No threat-intel, YARA, IDS, or Safe Browsing findings
Outbound resources are mainstream vendors (Squarespace, Typekit, Usercentrics)
Domain age information unavailable

Details

Page Title

MJS Publishing

Scan Type

public

Domain Name Analysis

Domain 'medicaljournalssweden.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Count 21 characters in 'medicaljournalssweden' split between 8 vowels and 13 consonants. Word splitting yields three words: medical, journals, sweden. Median word length is seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://medicaljournalssweden.se

Page Load Overview

6.25s
Total Load Time
2.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-GB
Text Length:1,135 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical41% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
41%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12198.185.159.144Squarespace · CLOUDNew York, New York, United States
AS53831Squarespace, Inc.
4208.70.245.162Canada
AS36483Gossamer Threads Inc.
4184.24.77.165Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4146.75.120.237Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
434.160.236.44Google · CDNKansas City, Missouri, United States
AS396982Google LLC
4146.75.120.238Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
434.149.254.14Google · CDNKansas City, Missouri, United States
AS396982Google LLC
434.102.170.124Google · CDNKansas City, Missouri, United States
AS396982Google LLC
4184.24.77.135Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
435.190.14.188Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8018--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T167F3F86598702829814FB5F4A28F3719596BF723CDC89FC0B4EC48688FCAED5096379D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:SRnRYiYwlP8al++lXXzup3Sue6NbTZCr/:kPB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:165211:I44ICCIwEwM1tBIp6SKzKjItIoSSADSgQMhABEat0UAHKIBhAkOCmCwlGkBKI1+HTAaAAkOZkFYegUAGYiQGbihsUpBFbFUl

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:0000ecece0e0ffff
Perceptual Hash:e31a0c6e73b46599
Difference Hash:25c949494948b8c5
Wavelet Hash:0000e9ece0e0ffff
Color Hash:#86492d

Scan History

Scan history not available

Unable to load historical scan data