Security Scan Report: mc-jakten.se

Redirected to:
https://www.mc-jakten.se/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 15 IPs in 1 country across 9 domains to perform 101 HTTP transactions. The main domain is mc-jakten.se.

Submitted URL: https://mc-jakten.se

Effective URL:
https://www.mc-jakten.se/
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Swedish motorcycle-licence video-course sales page on its own matching domain; no forms, no impersonation, no threat-intel or malware hits. Only a minor right-click block — low risk.

Risk Factors (1)
JavaScript blocks the browser context menu (right-click), a minor anti-analysis behaviour that is common on legitimate commercial sites as well
Safety Factors (5)
Page displays its own brand (mc-jakten/mcjakten), which matches the domain — not typosquatting
No credential or payment forms on the page per verified form facts
No Indicators of Compromise, malware, IDS or Safe Browsing findings
Third-party scripts served from ranked, well-known hosts (gstatic, WordPress stats/pixel)
Legitimacy indicators include a visible physical address and a clearly stated refund policy
Domain age information unavailable

Details

Page Title

Snabbare, billigare och säkrare mc-kort | mc-jakten.se

Scan Type

public

Domain Name Analysis

The domain name 'mc-jakten.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. Count 9 characters in 'mc-jakten' holding 2 vowels versus six consonants, along with one hyphen. Word splitting yields three words: mc, jak, ten. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mc-jakten.se

Page Load Overview

1.57s
Total Load Time
8.1 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-GB
Text Length:8,194 chars
Detector Agreement:100%
Language mismatch: Declared as en-GB but detected as sv

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
17188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
6188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
618.66.122.51Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
618.66.122.103Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
618.66.122.24Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
613.226.244.30Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
618.66.122.114Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
613.226.244.36Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
634.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
10115--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11AD461B13E072539727F508F4007AA8C31A5DECAE66BA5D9F5B26036F1F5D9133E1228

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1IbQjnZduC8eAVCaZuf2PtfccJhE+L27DE55SztQtLTgCfHU5NeP/SgTdFyAcRO:1bZduC8eAW21l2d2co

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:654783:i1EWRAJoQDSQicmGSSdAAARIKcFDVEAAFKUMCqtCDAUDMLEiBABQogRs6ABIgrUiCEIOiAVUmQ2BPIhFlIgqAJunHYNOgABI

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:0000300e0e0000ff
Perceptual Hash:920bed789216e747
Difference Hash:d1f3e0dcd8c4d616
Wavelet Hash:00397f3f2f6000ff
Color Hash:#b3d279

Scan History

Scan history not available

Unable to load historical scan data