Security Scan Report: www.zmarta.se

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Submitted: Sep 30, 2026, 12:02:07 PMCompleted: Sep 30, 2026, 12:03:08 PMpubliccompleted

This website contacted 20 IPs in 2 countries across 10 domains to perform 159 HTTP transactions. The main domain is zmarta.se and was registered 9 years ago.

Submitted URL: https://www.zmarta.se/forsakring/bilforsakring?apcid=0069d221b04d3c860e36860a&utm_campaign=EarlyWeek_Zmarta_Insurance&utm_content=cta_top&utm_medium=email&utm_source=ortto&utm_term=cal-n9-c2

AI Security Verdict

Safe Website

Confidence: 90%

0
Risk Score

Established Swedish insurance comparison site with self-branding, no forms, no malware or phishing indicators. Safe to use.

Safety Factors (5)
Established domain (12 years old)
Self-branding matches domain
No credential or payment forms
No threat-intel or YARA malware matches
No cross-origin credential exfiltration
Domain age information unavailable

Details

Page Title

Jämför Bilförsäkring & Hitta Bästa Priset | Spara på Din Försäkring | Zmarta – Jämför bilförsäkringar hos flera bolag och hitta det bästa och billigaste alternativet för din bil.

Scan Type

public

Domain Name Analysis

Domain 'www.zmarta.se' uses the Swedish country-code top-level domain (.se), featuring subdomain 'www'. Its registrable label 'zmarta' stretches across 6 characters holding two vowels versus 4 consonants. Splitting it apart reveals 2 words: z, marta. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.zmarta.se/forsakring/bilforsakring?apcid=0069d221b04d3c860e36860a&utm_campaign=EarlyWeek_Zmarta_Insurance&utm_content=cta_top&utm_medium=email&utm_source=ortto&utm_term=cal-n9-c2

Page Load Overview

6.52s
Total Load Time
2.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:39,824 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%
news/blog
40%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2652.222.236.102Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
713.33.187.102Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
723.36.162.221Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7142.251.127.97Google · CDNUnited States
AS15169Google LLC
7150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
7104.86.150.195Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
7142.250.154.156Google · CDNUnited States
AS15169Google LLC
7216.239.32.36Google · CDNUnited States
AS15169Google LLC
73.73.199.118Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
752.222.236.26Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15920--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T164154A62B140E01DD423CFE8DE786F3B515FE1ADCF8150A5F49ECA254ED38786AB5282

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:7DOOTWfNIu37DDoh+2IPM1NnvYnZN3y+SJM/kyPhuw:7DRTWfNIu37DB/Ph7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:927409:mBogBBi5jwRhQJiFI0BBQxDbjZaoS4HAAmCeJgARAKiUiSFAWE4kABKAzUFWcpGiBAQKABMwgHA1gAhQdBd4xiI6g0ugkjYo

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:00003c3c3c3c0000
Perceptual Hash:9a12316dce6ccfa8
Difference Hash:6c9c696969619e3a
Wavelet Hash:00043c3c3c3cdfff
Color Hash:#6ce083

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data