Security Scan Report: xn--vrmepumpshjlten-0kbk.se

Redirected to:
https://mitsubishielectric.se/produkter/villa/luft-luft/hero?indoor=ms...
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Submitted: Completed: publiccompleted
This website contacted 35 IPs in 6 countries across 17 domains to perform 208 HTTP transactions. The main domain is xn--vrmepumpshjlten-0kbk.se.

Submitted URL: https://xn--vrmepumpshjlten-0kbk.se

Effective URL:
https://mitsubishielectric.se/produkter/villa/luft-luft/hero?indoor=ms...
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Redirect ends on mitsubishielectric.se, the brand's own official domain, serving a normal policy-compliant product page with a quote form and no credential/payment capture; no threat-intel, YARA or IDS hits.

Safety Factors (4)
Redirect terminates on the brand's own official domain, which settles the brand-ownership question (not impersonation)
No credential-harvesting or payment form on the page
No Indicators of Compromise, YARA, IDS, or Safe Browsing findings
No obfuscated or exfiltrating JavaScript behavior detected
Domain age information unavailable

Details

Page Title

HERO luftvärmepump | Mitsubishi Electric

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'xn--vrmepumpshjlten-0kbk.se' is registered while skipping any subdomain. Count 24 characters in 'xn--vrmepumpshjlten-0kbk' with 3 vowels and 17 consonants; it also includes one digit and 3 hyphens. Segmentation suggests nine words: xn, vr, me, pumps, hj, lten, 0, kb, k. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--vrmepumpshjlten-0kbk.se

Page Load Overview

24.84s
Total Load Time
5.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:111,108 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3820.23.189.221Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
5194.9.94.86Sweden
AS39570Loopia AB
565.8.131.70Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
595.100.146.43Akamai · CDNPrague, Prague, Czech Republic
AS20940Akamai International B.V.
595.100.146.42Akamai · CDNPrague, Prague, Czech Republic
AS20940Akamai International B.V.
5150.171.109.101Azure · CLOUDUnited States
AS8075Microsoft Corporation
5142.251.110.97Google · CDNUnited States
AS15169Google LLC
5172.217.118.4Google · CDNUnited States
AS15169Google LLC
540.113.176.130Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
557.150.98.65Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
20835--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16F75A4725090B6BFD20B9FC823366F3D70E67199EE52AA4977E187D017D3EE0584E812

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:dVmH9rbc0Fwk5YDmX2uhPncgmV7hPncgmVak6H5+Y7+bDRgHB4VlhzVkR8pHWOZ+:uBc5kdcgadcgaWH5+BDRgN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1658105:ATIqtaY9CAJUZAAAmFUwVGKRYKkAQeUIAGocQABQBwAJoAkuCEQkjhgBAEKxCJkzeg1M2g9sYALlbKIFOzANiOgAAECrIAlE

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:bfcbdbcdc3c1c1bf
Perceptual Hash:e897936d964b851a
Difference Hash:7916333927171369
Wavelet Hash:8fcbcbc1c3c1818f
Color Hash:#6fac53

Other Hashes

Crop Resistant:7916333927171369

Scan History

Scan history not available

Unable to load historical scan data