Security Scan Report: greencargear.se

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Submitted: Completed: publiccompleted
This website contacted 73 IPs in 4 countries across 60 domains to perform 654 HTTP transactions. The main domain is greencargear.se.

Submitted URL: https://greencargear.se

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Swedish electric-car accessories shop using its own GreenCarGear brand; standard storefront forms, no impersonation, malware or threat-intel hits.

Safety Factors (5)
Self-branding: page title and Open Graph tags match the domain
Established-looking retail content with product categories, blog articles and published physical address
Forms are ordinary cart/search/newsletter actions on the same origin
Cross-origin script is api.clerk.io, a common e-commerce personalisation service
hCaptcha and consent-management scripts are standard site infrastructure
Domain age information unavailable

Details

Page Title

Tillbehör till elbilar | Green Car Gear – snabb leverans

Scan Type

public

Domain Name Analysis

The domain name 'greencargear.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The second-level label 'greencargear' is 12 characters long with five vowels and 7 consonants. Word splitting yields three words: green, car, gear. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

— a a» ec — ~—_ — - .. —— ——— ere -—e — — - >= <= ——_ - — ~_- -— ee ee -— a BLACK bona GREENCARSEA? Denna webbplats använder cookies —_ Vianvänder cookies för att köra den här webbplatsen, mäta tra...

Page Load Overview

18.32s
Total Load Time
12.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:18,037 chars
Detector Agreement:93%

All Detected Languages

🇸🇪sv(80%)🇺🇸en(8%)🇩🇰da(4%)🇩🇪de(3%)🇸🇮sl(2%)🇳🇴no(2%)🇭🇺hu(1%)🇪🇸ca(1%)

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
documentation technical
27%
e-commerce
20%
news/blog
20%

Detected Features

Search
Articles
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39623.227.38.65Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
8823.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
31146.75.122.133Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2218.64.211.114Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1252.222.236.94Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
10104.19.230.21Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8142.250.154.97Google · CDNUnited States
AS15169Google LLC
852.222.236.107Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
8172.66.172.180Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
65473--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117855BB05432147E066724E4655EBBA8B3ABD343F39745D0BAEC47048F5EFA098A347E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:UT9GgPqz5QKbTmkawkEW4MEwgQAQYeXLM0PL3WN6:UT9GH53bTmJeW4MEwgQAQYeXLWM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1763390:BkSABIgYgFmxkCyB0wsNDIkr6JQAMgGBIWbCJIAFRuYkCgCIIKQRAADAghOBK4I52MIMpjpBUgSASgoxdAA7QCVRAI8TmBgS

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:78f6e0e0c0087600
Perceptual Hash:e0e00f1978e64bfa
Difference Hash:90a4868699d2a4aa
Wavelet Hash:f8fef0e0c0087e4b
Color Hash:07e00000200

Other Hashes

Crop Resistant:90a4868699d2a4aa

Scan History

Scan history not available

Unable to load historical scan data