Security Scan Report: elkartan.se

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Submitted: Completed: publiccompleted
This website contacted 14 IPs in 1 country across 9 domains to perform 67 HTTP transactions. The main domain is elkartan.se.

Submitted URL: https://elkartan.se

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Swedish electricity-price info/comparison site on its own domain; no forms, no impersonation, no threat-intel or malware hits. Only oddity is a long cross-domain redirect chain — informational resource, low risk.

Risk Factors (2)
Excessive redirect chain (14 cross-domain hops) is atypical and warrants caution, though no malicious function was observed
Domain does not appear in Cisco Umbrella rankings — a weak prior only
Safety Factors (5)
Page displays only its own brand; no impersonation of a different company
Zero credential or payment forms on the page
No threat-intelligence matches, no malware hunting-rule hits, no known phishing kit in the roster
Transparent affiliate disclosure and named third-party data source
The single Suricata alert is INFO-level, content-count heuristic, explicitly informational without corroboration
Domain age information unavailable

Details

Page Title

Elkartan – Elpris idag & jämför elavtal

Scan Type

public

Domain Name Analysis

Domain 'elkartan.se' uses the Swedish country-code top-level domain (.se) with no subdomain. The second-level label 'elkartan' is 8 characters long containing 3 vowels alongside 5 consonants. It segments into three words: elk, art, an. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

ELKARTAN Elpriser — Elavtal v ELPRISER. ENKLARE BESLUT. AKTUELLA ELPRISER | 11 NOVEMBER 2026 Vad kostar elen idag? Se dagens aktuella spotpris i Sveriges fyra elområden och jämför elavtal — enkelt...

Page Load Overview

1.83s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:17,273 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
51%
adult content
40%
documentation technical
37%
corporate
35%
government public service
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15216.24.57.1United States
AS397273Render
4142.251.14.97Google · CDNUnited States
AS15169Google LLC
4142.250.154.95Google · CDNUnited States
AS15169Google LLC
4142.251.152.119Google · CDNUnited States
AS15169Google LLC
4142.251.110.148Google · CDNUnited States
AS15169Google LLC
4104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4192.178.183.94Google · CDNUnited States
AS15169Google LLC
465.8.131.30Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4216.24.57.18United States
AS397273Render
4142.251.154.119Google · CDNUnited States
AS15169Google LLC
6714--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C684973042141E3DA6278BD4F7A0733990BEA346E65BD11CE6B812721BCBDD9E8376D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:qZwe9aaHG5c1khtyKY4wegdLvByQNzvUWm8syYuCeHJctFLz3G3RytkwkPZyY4yZ:ne9E1qeXm5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:398597:gBEuGECDSJtEABRp8aIa9JYBgCCwGFA8RTjAkGIuAAkuEOLkxACQrSEBmCIIHMuRVAAYwuTEdJwyHBChDgk2i4AowqBNP8oN

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:fd80b0f0feffffff
Perceptual Hash:cc4cbbb3b3464a4a
Difference Hash:69266024488b0278
Wavelet Hash:a08080d0b8fffb9f
Color Hash:06e00000000

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data