Security Scan Report: www.dinsko.se

Site favicon
Submitted: Aug 27, 2026, 5:36:48 PMCompleted: Aug 27, 2026, 5:38:28 PMpubliccompleted

Summary

This website contacted 13 IPs in 3 countries across 19 domains to perform 2 HTTP transactions. The main domain is dinsko.se and was registered 30 years ago.

Submitted URL: https://www.dinsko.se/damskor/sneakers?vtid=E21map90bUeziqwkAOp6lQ&utm_source=Voyado&utm_medium=email&utm_campaign=ds-nyhetsbrev-k-26v35-ds-xit-k%C3%B6p2par-dam&eclub=wejiYb3HJJ%2F%2B%2BsBCFNcv1jBLRDGaj17jtgh5E2Y7qCQ%3Dyw5XpBs4BSnvN4dF7TMEVKZcwXOd0M3Ifruk5k8LJoibCJSkUUGKepjar%2FyQ7sl3xpGKbMdO2QaI3MVN89slqdx78KQDvznLaUTDFeORBZgd2e5CofxgWF0%2Fh%2FQw0y%2BA%2FCTRcO2LpYwj0Ggw7NKJas9t3BYJ2wdD2h5j8BMTBs0%3D

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The page is a legitimate e‑commerce site with self‑branding, no forms or malicious indicators.

Safety Factors
Established domain with long registration history
Legitimate e‑commerce content and product listings
No suspicious redirects beyond a single circular redirect without malicious context
Domain age information unavailable

Details

Page Title

Sneakers | Dam | Köp dina damsneakers tryggt online - DinSko

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

e-commerce shopping

(44%)

Domain Information

You're looking at domain 'www.dinsko.se' on the Swedish country-code top-level domain (.se), featuring subdomain 'www'. Count 6 characters in 'dinsko' holding 2 vowels versus 4 consonants. Word splitting yields 3 words: d, in, sko. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of analytics.tiktok.com

Page Load Overview

1.29s
Total Load Time
50
HTTP Requests
19
Domains
984 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:6,018 chars
Detector Agreement:60%

Website Classification

Primary Category

e-commerce shopping44% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
44%
adult content
35%
corporate
25%

Detected Features

Search
Products
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
142.19.122.209Düsseldorf, North Rhine-Westphalia, Germany
AS20940Akamai International B.V.
334.54.17.210Google · CDNKansas City, Missouri, United States
AS396982Google LLC
318.245.60.87Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
398.71.149.160Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
318.66.102.124Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3150.171.109.104Azure · CLOUDUnited States
AS8075Microsoft Corporation
3104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
318.66.102.2Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5013--

Page Statistics

50
Requests
10
Unique Domains
1.1 MB
Total Size

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17CC134736410C078322243EDFB96F0CDC25BE21FDF5A9C11A8EB435A56B0EA516B745B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:IbDzaQZSawqD8NLCMg5fmHZAtTxg23SBRBS+Y:IbDzapwEChs5ArtCBRBS+Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5896:AAQAWgIYAIoIEwKLIU6CCgA2JwQAChoIwAAA4AKRCBiyIK6BmWFMAAMGQCCAEimAEAAQAyMC0CAIAJQEMAUQEyIBECGeBBMA

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:0fffffffafe7a381
Perceptual Hash:b7902c331d73330f
Difference Hash:daa09e306b4d0b2b
Wavelet Hash:007fc3ffa7838381
Color Hash:#ac7853

Scan History

Scan history not available

Unable to load historical scan data