Security Scan Report: xn--ns-via.se

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 26 HTTP transactions. The main domain is xn--ns-via.se.

Submitted URL: https://xn--ns-via.se

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate Swedish village/parish community site on its own domain; only site-search forms, no credential or payment collection, no impersonation, no threat-intel, malware or IDS evidence.

Safety Factors (4)
No credential, login or payment forms anywhere on the page
No Indicators of Compromise, YARA or network IDS hits
No cross-origin scripts or form submissions; all JavaScript served from the site's own domain
Content is consistent with a genuine local community association (parish news, defibrillator notice, history, local businesses)
Domain age information unavailable

Details

Page Title

Näs Socken – på Sydvästra Gotland

Scan Type

public

Domain Name Analysis

You're looking at domain 'xn--ns-via.se' on the Swedish country-code top-level domain (.se) and has no subdomain. The second-level label 'xn--ns-via' is 10 characters long containing 2 vowels alongside five consonants, along with three hyphens. Word splitting yields three words: xn, ns, via. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--ns-via.se

Page Load Overview

4.06s
Total Load Time
2.1 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:1,606 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
73%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2693.188.2.54Sweden
AS39570Loopia AB
261--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T151B3F8A2839858FA354F87688109F70CF38A9940CF4926D2F2F9E254A5CCEA514F771F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:K0Pypz5jFzKVj2CrvHSeHFda27Ak5WWRf:KbNcrvHSeHHAk5WWB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:108105:GiAbqOy5TEBJIBGQABRxAfQ2BBQAAOEgSlo+IJIiIiCDQGItCkQBBQQwQPEYrDEMCQDMIxASYGRQNlLxc41GgwQiBAEIYgYo

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:e080011836338cce
Perceptual Hash:de60f345d41ba394
Difference Hash:8a348b75666a783d
Wavelet Hash:f1c0011c363b9edf
Color Hash:#40bf60

Scan History

Scan history not available

Unable to load historical scan data