Security Scan Report: xn--vrmdelektrikerna-vnb14a.se

Redirected to:
https://www.powerconnector.se/
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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 6 domains to perform 33 HTTP transactions. The main domain is xn--vrmdelektrikerna-vnb14a.se.

Submitted URL: https://xn--vrmdelektrikerna-vnb14a.se

Effective URL:
https://www.powerconnector.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 84%

1
Risk Score

Swedish electrician business site with only a standard contact form; no impersonation, no credential or payment fields, and no threat-intel, YARA or IDS hits. Domain age unknown adds nothing here.

Safety Factors (5)
No credential, password or payment fields — contact form only
Self-branding: page brand matches the final domain powerconnector.se
No threat-intelligence matches or malware/IDS/YARA detections
Legitimate business details (company name, physical address, phone numbers, named partners)
Cross-origin form submission resolves to the site's own final domain, not exfiltration
Domain age information unavailable

Details

Page Title

Power Connector – Din elektriker på Värmdö och i Nacka

Scan Type

public

Domain Name Analysis

The domain 'xn--vrmdelektrikerna-vnb14a.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Count 27 characters in 'xn--vrmdelektrikerna-vnb14a' holding six vowels versus 16 consonants, notching two digits and 3 hyphens. Word splitting yields 11 words: xn, vr, m, de, lek, trike, rna, v, nb, 14, a. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--vrmdelektrikerna-vnb14a.se

Page Load Overview

3.84s
Total Load Time
454 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:2,610 chars
Detector Agreement:75%

Website Classification

Primary Category

real estate property89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
89%
blog personal website
83%
documentation technical
81%
government public service
77%
technology software
76%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
913.50.165.191Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
6194.9.94.85Sweden
AS39570Loopia AB
6142.251.14.95Google · CDNUnited States
AS15169Google LLC
6142.250.154.94Google · CDNUnited States
AS15169Google LLC
6194.9.94.86Sweden
AS39570Loopia AB
335--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11C13C631F060613B1E4BC3FCF6E17328E5979196C74A86F6B2F401A887D5DF5A0A660E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:WVZdypaObHuXotOBM35oEjBV1TqrsNJc7xksztQ:W9yp7HuCgxksztQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41824:YEBSAoBgBmAkGiTmFEGAWgWBjetqayW5IyjgDEGsLhAAMQAgAdYEJbQtCA1wEMiUAMgxg2ASIOCIgAQMwVzhGDRQQCiTANgA

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:0000c391e1e1ffff
Perceptual Hash:ea3c9542c994e3b6
Difference Hash:96ae272313d1dcec
Wavelet Hash:0000c3d1e1e1ffff
Color Hash:#b7bf40

Scan History

Scan history not available

Unable to load historical scan data