Security Scan Report: xn--byta-elleverantr-0wb.se

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Submitted: Completed: publiccompleted
This website contacted 10 IPs in 3 countries across 7 domains to perform 31 HTTP transactions. The main domain is xn--byta-elleverantr-0wb.se.

Submitted URL: https://xn--byta-elleverantr-0wb.se

AI Security Verdict

Safe Website

Confidence: 75%

1
Risk Score

Swedish consumer guide to switching electricity suppliers on its own matching domain; no forms beyond site search, no impersonation, no Indicators of Compromise or malware — appears legitimate.

Safety Factors (4)
Self-branding matches the registered domain; no other organisation's brand is claimed
No credential or payment collection anywhere on the page
No Indicators of Compromise, malware signatures or IDS alerts
Substantial, coherent editorial content consistent with a genuine consumer-information site
Domain age information unavailable

Details

Page Title

Byta elleverantör: Snabb guide för att spara pengar på din elräkning

Scan Type

public

Domain Name Analysis

The domain name 'xn--byta-elleverantr-0wb.se' uses the Swedish country-code top-level domain (.se) with no subdomain. Its registrable label 'xn--byta-elleverantr-0wb' stretches across 24 characters containing five vowels alongside 14 consonants, plus 1 digit and four hyphens. Word splitting yields 9 words: xn, by, ta, ell, ever, an, tr, 0, wb. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Byta-elleverantör.se Hem = Städer Om / kontakt Blogg Hur du byter elleverantör till ett bra pris Funderar du på att byta elleverantör? På den här sidan kan du enkelt ta reda på vilka alternativ som...

Page Load Overview

0.79s
Total Load Time
501 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:24,028 chars
Detector Agreement:100%

All Detected Languages

🇸🇪sv(99%)🇩🇰da(1%)

Website Classification

Primary Category

documentation technical85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
85%
government public service
37%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4116.203.21.55Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
3188.166.63.236Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
3141.101.90.104Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.18.183Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.64.150.216Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3141.101.90.105Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.19.183Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2141.101.90.107Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.166.57.74Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
134.36.166.45Google · CDNKansas City, Missouri, United States
AS396982Google LLC
3110--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D4F3E7218E75E47FB06781E9D1945B0AC2EDD022C61A6D9CB0EDD4ACCF8ADD91CB350B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:pzjcBFozNSe2NCfVnA/CyHgebL7QurbLTA/NB+:pzjcLbMfVnwCyHgeb7rbp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:162945:4gBjAESLIhBEFyKWIQFMBqHQRARAvRjo1IKEIMwheAGAugIDQhSEYFmGCjHNEIgU4Q5gCIgEkEUBghEBRgEgSLxMJkBIGAjC

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:ff0000fff7f7e300
Perceptual Hash:e61918e79eb68d03
Difference Hash:0f99990d4f4747b1
Wavelet Hash:cb0000ffe7ffe300
Color Hash:0f0020000c0

Scan History

Scan history not available

Unable to load historical scan data