Security Scan Report: sjoholm-moller.se

Redirected to:
https://www.sjoholm-moller.se/
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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 2 domains to perform 36 HTTP transactions. The main domain is sjoholm-moller.se.

Submitted URL: https://sjoholm-moller.se

Effective URL:
https://www.sjoholm-moller.se/
Redirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Swedish dental lab site with matching self-branding, contact form only, no credential/payment fields, and no threat-intel or malware signals. Unknown domain age is a neutral registry limitation, not a risk factor.

Safety Factors (5)
Displayed brand matches the domain and is not an impersonation of a different entity
No credential or payment-collection fields on the page
All JavaScript is served from the site's own domain
No Indicators of Compromise, YARA, or network IDS alerts were detected
Page content is consistent with a legitimate healthcare/medical business
Domain age information unavailable

Details

Page Title

Sjöholm & Möller Tandteknik AB

Scan Type

public

Domain Name Analysis

The domain 'sjoholm-moller.se' uses the Swedish country-code top-level domain (.se). Its registrable label 'sjoholm-moller' stretches across 14 characters with 4 vowels and nine consonants; it also includes 1 hyphen. It segments into 4 words: s, jo, holm, moller. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sjoholm-moller.se

Page Load Overview

1.18s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:6,362 chars
Detector Agreement:100%
Language mismatch: Declared as en-US but detected as sv

Website Classification

Primary Category

healthcare medical84% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
84%
corporate business
77%
education learning
71%
documentation technical
71%
government public service
68%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36172.104.155.151Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
361--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12064D7A27D43603A323F559F5087670C21A1CACDCA26B5D2F8B49127FAF8DE137E2915

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:td/SypgwKyp/G5DWtJkTZk/nasGdfUkQ2S0el8ocLX6JlnVKMqbdBYOz43QmXCQr:tdzBYVMTuU69LT2ShCs2Z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:324834:DIJB0BEA7StRExMAOgMBDYS2IUBEgYQiBYNY0DrSwgChQBgCDCgBQBFtRYYJoEGHjCYSg5GIrhAMmoAxBN7XqCaGAkEWAAII

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:ff03030303030707
Perceptual Hash:aacdd1f4c1c5c1e1
Difference Hash:0f3fd7d7cf0f4fdf
Wavelet Hash:ff032b070707073f
Color Hash:#936b1f

Scan History

Scan history not available

Unable to load historical scan data