Security Scan Report: svenskaeljouren.se

Redirected to: https://svenskaeljouren.se/boka-elektriker

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Submitted: Dec 7, 2025, 1:06:43 AMCompleted: Dec 7, 2025, 1:08:58 AMpubliccompleted
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Summary

This website contacted 35 IPs in 5 countries across 16 domains to perform 126 HTTP transactions. The main domain is svenskaeljouren.se and was registered NaN years ago.

Submitted URL: https://svenskaeljouren.se/

Effective URL: https://svenskaeljouren.se/boka-elektrikerRedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Established domain age
No credential or payment collection
Clear contact/booking form
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Boka elektriker 2025 | Snabbt, enkelt & till fast pris med oss

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

real estate property

(97%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'svenskaeljouren.se' is registered while skipping any subdomain. Count 15 characters in 'svenskaeljouren' containing six vowels alongside nine consonants. Tokenizing the label suggests 4 words: svenska, el, jour, en. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://svenskaeljouren.se/

Page Load Overview

0.88s
Total Load Time
126
HTTP Requests
16
Domains
2.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv-SE
Text Length:27,091 chars
Detector Agreement:80%

Website Classification

Primary Category

real estate property97% confidence
Type: spa
Method: ml+structural

All Detected Categories

real estate property
97%
blog personal website
87%
finance banking
78%
documentation technical
69%
government public service
67%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
41207.154.244.201Frankfurt am Main, Hesse, Germany
AS14061DIGITALOCEAN-ASN
17129.151.222.51Stockholm, Stockholm County, Sweden
AS31898ORACLE-BMC-31898
1552.222.236.94United States
AS16509AMAZON-02
8188.166.63.236Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
6104.16.174.226United States
AS13335CLOUDFLARENET
6157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
5142.250.186.179United States
AS15169GOOGLE
452.222.236.60United States
AS16509AMAZON-02
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4142.250.185.168United States
AS15169GOOGLE
12635--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16494A4A128F0D258255B528DAB31771BC9E7C583C25AAC9D30AD190ABFC7D6B0CD33D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:tr4ctQrClO0Fpe/rXZedrrm5cPGdyXrYtlHnmz/9M:nyCl7FbBrYtMzK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:425129:BPAFC3BQ3LCQIkoB2KAQRQCsA4pgoEYIQoloDkEBQBFC5CosAdQKUuGJyLuCQBQkSowSgMjAVwjgCzSgoohBIEQWArBLNYgE

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:7f93b1f0f03f3f7e
Perceptual Hash:ee6f959252024d6b
Difference Hash:f837736521f2f0d0
Wavelet Hash:009191f0f03f1ffe
Color Hash:#934c1f

Other Hashes

Crop Resistant:f837736521f2f0d0

Scan History

Scan history not available

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