Security Scan Report: 50cc.se

Redirected to:
https://mopeddelar.se/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 59 IPs in 4 countries across 29 domains to perform 162 HTTP transactions. The main domain is 50cc.se.

Submitted URL: https://50cc.se

Effective URL:
https://mopeddelar.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Swedish moped and bicycle parts shop on its own matching domain. No credential or payment forms, no impersonation, no threat-intel, hunting rule or IDS hits. Ordinary e-commerce page; safe to use.

Safety Factors (5)
Final domain matches the site's own displayed brand (self-branding, not impersonation)
No credential or payment form; the single form is a product model selector
No Indicators of Compromise, hunting rule, IDS or Safe Browsing hits
Transparent company details and contact information
Redirect 50cc.se -> mopeddelar.se is an ordinary domain move and is not treated as a risk signal
Domain age information unavailable

Details

Page Title

Mopeddelar.se - Veteran samt nya Moped Cykel & MC delar

Scan Type

public

Domain Name Analysis

Domain '50cc.se' uses the Swedish country-code top-level domain (.se) with no subdomain. Its registrable label '50cc' stretches across 4 characters with zero vowels and 2 consonants; bonus characters include 2 digits. Segmentation suggests two words: 50, cc. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Utmärkt 4.9 av 5 % Trustpilot Inkl. moms vy - Din mopedbutk på nätet HEM NYHETER REA MOPED - MC v CYKEL v SPORT & FRITID ELSPARKCYKEL v BLI ÅTERFÖRSÄLJARE Välkommen till Mopeddelar.se Du kan välja...

Page Load Overview

3.90s
Total Load Time
4.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:10,992 chars
Detector Agreement:100%

All Detected Languages

🇸🇪sv(91%)🇳🇴no(4%)🇮🇹it(3%)🇩🇪de(1%)🇵🇭tl(1%)

Website Classification

Primary Category

documentation technical26% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
26%

Detected Features

Products
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4616.192.18.131Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
2013.61.61.154Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
1513.33.50.94Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
1052.222.236.94Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1054.246.219.37Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
6104.20.17.167Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
618.64.211.57Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
413.33.187.99Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
4142.251.155.119Google · CDNUnited States
AS15169Google LLC
413.226.244.120Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
16259--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170842A62E6AC3C3F122341D668B17B9DB1AF4572CA124955F6FE523C4FCAEC01A2724D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:DcoXnuw6ut3AxRrdvq2cDQuXR/S8gpoX0t6hp8:Dckh6AAxRrdOQCR/D6m8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:374490:JImYCYCQJmk4Low3SPCIAIQAESgRWAfcgBFGyg/YWANQAGRAKqKhYJgYSRMjBnLJCOoCCAlw4UggIRMIIE3CclwYz5CgFAMI

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:0800000000ffffff
Perceptual Hash:9b1bf9d10bc1982e
Difference Hash:d97979796d0e061b
Wavelet Hash:0800013d01ffffff
Color Hash:16402000000

Scan History

Scan history not available

Unable to load historical scan data