ScanMalware.com

Security Scan Report: legeakademiet.dk

Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/92ba6566-dedf-40f8-b949-5d565ad03ad2Domain and IP registration (RDAP)/api/v1/rdap/92ba6566-dedf-40f8-b949-5d565ad03ad2How often this domain was scanned/api/v1/domain/stats/legeakademiet.dkScan history for this domain/api/v1/domain/history/legeakademiet.dk?limit=15
This website contacted 63 IPs in 6 countries across 54 domains to perform 417 HTTP transactions. The main domain is legeakademiet.dk and was registered 21 years ago.

Submitted URL: https://legeakademiet.dk

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established 21-year-old Danish toy webshop (legeakademiet.dk) showing its own brand, with no threat-intel, YARA, IDS or phishing signals and no credential/payment harvesting behaviour. Legitimate.

Safety Factors (5)
Established 21-year-old domain with a matching, long-running brand and real contact details ([email protected], +45 71 99 05 25)
Self-branding detected — the site's own name matches the domain, no impersonation of another entity
No Indicators of Compromise, no Safe Browsing/YARA/IDS malware or phishing hits
No credential-harvesting or payment-capture form behaviour; no cross-origin credential exfiltration
Content is a coherent Danish toy shop with product categories, delivery/return policies and support pages
Domain age information unavailable

Details

Page Title

Legetøj | Lærerigt legetøj til børn i alle aldre - Se vores udvalg her

Scan Type

public

Domain Name Analysis

Within the Danish country-code top-level domain (.dk), 'legeakademiet.dk' is registered. The registrable portion 'legeakademiet' spans 13 characters holding seven vowels versus six consonants. Splitting it apart reveals 4 words: leg, e, akademie, t. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://legeakademiet.dk

Page Load Overview

5.26s
Total Load Time
9.7 MB
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:da
Text Length:62,065 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning90% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
90%
entertainment media
76%
blog personal website
74%
social media network
63%
technology software
62%

Detected Features

Login Form
Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
45104.26.9.126Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6150.171.109.101Azure · CLOUDUnited States
AS8075Microsoft Corporation
6199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
6142.250.154.97Google · CDNUnited States
AS15169Google LLC
618.66.102.11Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6104.18.36.216Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6146.75.120.84Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
665.9.130.29Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
41763--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C950B7061F1117E805BA2DDA6A1AB15B263E313C7464BD9729CC221EFC9D826DB33DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:SeK4jom/TI+zg46N56MySkdLLkqT/tUeCE5XAjomY0pnFw1G1nnaYNV2X1:SeKcowH5SMTF5wo30pFw1G1nnaYNV2X1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1883257:CUEKA6MKeD50kggxrLRgSxg4hhlDIAGhAIiMmDyRApxOFjhErYgYIBBBEhHBBAkC1DAEpQhoFpKDBiBCnOFkoAQBQhgpABI0

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:0018183c3c383800
Perceptual Hash:cc32368d338e7333
Difference Hash:6361317173733331
Wavelet Hash:003c3d3d3d3dbd81
Color Hash:#d2797e

Other Hashes

Crop Resistant:c0c0c0c0c0c0c0c0,c3e3e2feb3caa2a1,6271317171313338

Scan History

Scan history not available

Unable to load historical scan data