Security Scan Report: xn--novadigitalvrd-wib.se

Redirected to:
https://www.xn--novadigitalvrd-wib.se/
Submitted: Completed: publiccompleted
This website contacted 11 IPs in 2 countries across 10 domains to perform 65 HTTP transactions. The main domain is xn--novadigitalvrd-wib.se.

Submitted URL: https://xn--novadigitalvrd-wib.se

Effective URL:
https://www.xn--novadigitalvrd-wib.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate Swedish healthcare company site on its own 7-year-old domain; self-branded, no forms, no threat-intel, YARA, or IDS hits.

Safety Factors (5)
Established 7-year-old domain with minimal age risk
Self-branding: page title/brand matches its own domain, no impersonation of a different entity
No credential, login, or payment forms present
Clean threat intelligence, JavaScript, and network IDS results
Consistent healthcare/medical content matching the brand's stated purpose
Domain age information unavailable

Details

Page Title

Nova Digitalvård

Scan Type

public

Domain Name Analysis

Domain 'xn--novadigitalvrd-wib.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. Its registrable label 'xn--novadigitalvrd-wib' stretches across 22 characters with six vowels and 13 consonants, plus 3 hyphens. Tokenizing the label suggests 7 words: xn, nova, digital, v, rd, wi, b. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--novadigitalvrd-wib.se

Page Load Overview

31.59s
Total Load Time
10.6 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:1,502 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical92% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
92%
government public service
59%
corporate business
50%
technology software
48%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15198.49.23.144Squarespace · CLOUDUnited States
AS53831Squarespace, Inc.
5198.185.159.144Squarespace · CLOUDNew York, New York, United States
AS53831Squarespace, Inc.
5146.75.120.237Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
534.160.236.44Google · CDNKansas City, Missouri, United States
AS396982Google LLC
5146.75.120.238Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
523.207.210.150Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
523.207.210.154Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
523.207.210.141Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6511--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13E0407A854302829518F34F0929E331DA52BD323DAD58FD4B8FC4A7A9FCAFD5099325D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:aW7/lMX4Q/Bj5WS8cm2DY++w3BqW9EYIXYV56C8o/GCa+26CinyEN86HQLM+:aW7/lsXS+Bx8mQF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:173753:JIgXClgBBnBKqkSYAiSQCARchNhACACsIIMQQCcIAkxBVSomGAIQEHagBAhyGTgJjsIsCIVxxEhIbTS2AhTg9MSrvAFAMBEY

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:0303033f07277773
Perceptual Hash:a67b44b61cc73178
Difference Hash:67a7db6d37cfc6c6
Wavelet Hash:0303033f172f7773
Color Hash:#482dd2

Scan History

Scan history not available

Unable to load historical scan data