Security Scan Report: xn--vlkommeninivrmen-vnbl.se

Redirected to:
https://www.valkommeninivarmen.se/
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Submitted: Oct 15, 2026, 12:40:07 AMCompleted: Oct 15, 2026, 12:41:10 AMpubliccompleted

This website contacted 22 IPs in 2 countries across 13 domains to perform 171 HTTP transactions. The main domain is valkommeninivarmen.se and was registered 21 years ago.

Submitted URL: https://xn--vlkommeninivrmen-vnbl.se

Effective URL:

https://www.valkommeninivarmen.se/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Swedish district-heating campaign page for Borlänge Energi on a campaign domain (not the utility's official site). No forms, no credential or payment collection, no malware. Likely an authorised microsite, but the brand/domain mismatch and unknown age warrant caution.

Risk Factors (2)
Page communicates as another organisation's campaign (Borlänge Energi) while hosted on a domain that is not that organisation's official domain, and the brand/domain relationship cannot be verified from the capture
Entry domain age is unknown and the domain is not ranked in Cisco Umbrella, so no reputation corroborates the campaign's authenticity
Safety Factors (4)
No credential, login, newsletter or payment forms at all — no avenue for data harvesting or financial loss on this page
No malware, obfuscated payloads or credential exfiltration detected; cross-origin requests go only to standard Wix/CDN/analytics hosts
Content is ordinary Swedish municipal energy marketing with specific, verifiable campaign details and a customer-service address on the utility's own domain
Threat-intelligence matches relate solely to shared Wix third-party IPs with generic abuse-reputation tags, not to this site's content or addresses
Domain age information unavailable

Details

Page Title

Fjärrvärme värmer Borlänge | Välkommen in i värmen

Scan Type

public

Domain Name Analysis

Domain 'xn--vlkommeninivrmen-vnbl.se' uses the Swedish country-code top-level domain (.se) without a subdomain. Count 25 characters in 'xn--vlkommeninivrmen-vnbl' holding five vowels versus 17 consonants; bonus characters include 3 hyphens. Splitting it apart reveals 9 words: xn, vl, kommen, in, iv, r, men, v, nbl. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--vlkommeninivrmen-vnbl.se

Page Load Overview

8.16s
Total Load Time
19.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:3,714 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2434.149.87.45Google · CDNKansas City, Missouri, United States
AS396982Google LLC
7194.9.94.85Sweden
AS39570Loopia AB
7185.230.63.171Ashburn, Virginia, United States
AS58182Wix.com Ltd.
765.8.131.76Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
734.49.229.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
713.216.44.177Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
734.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
7151.101.194.217Fastly · CDNUnited States
AS54113Fastly, Inc.
765.8.131.125Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
734.120.254.8Google · CDNKansas City, Missouri, United States
AS396982Google LLC
17122--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DFF47D601710283D89CF22DDBB92BA0C21A45517DD85427FF9ED6D6C2FE3AE822D7217

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:DdzHLXhRSD47vSxNGrti8UR7z+RrklcEqq9XM/S9E0C:DdBzvS/2Az2RrkgO8/27C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:771379:FEDBwBkMmiiFGBhE8CTCtIH6wTDBwyVEAFgECpwiBBhQmKF1QABGkA5ACCYcKnGoMIAiRJGMbSiKgmERDQVRDDGQiOBJhEBA

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:ff010d0e0d0e8cff
Perceptual Hash:9389e5948ad684fb
Difference Hash:fafb7979b9381809
Wavelet Hash:ff010d0f0d0e84ff
Color Hash:#6ce0bd

Scan History

Scan history not available

Unable to load historical scan data