Security Scan Report: highstreet.se

Redirected to:
https://www.highstreet.se/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 23 IPs in 3 countries across 20 domains to perform 455 HTTP transactions. The main domain is highstreet.se.

Submitted URL: https://highstreet.se

Effective URL:
https://www.highstreet.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate Swedish custom-print apparel shop; domain matches its own brand, no phishing or malware indicators detected.

Safety Factors (5)
Self-branding matches the domain.
No credential or payment form fields were identified.
No Indicators of Compromise, malware patterns, or network IDS alerts were found.
The site runs on Shopify and uses ranked third-party services.
The content is consistent with a legitimate custom apparel e-commerce business.
Domain age information unavailable

Details

Page Title

Sverige T-shirts & Fotbollströjor med eget tryck | Highstreet.se

Scan Type

public

Domain Name Analysis

The domain 'highstreet.se' uses the Swedish country-code top-level domain (.se) with no subdomain. Its registrable label 'highstreet' stretches across 10 characters split between three vowels and seven consonants. It segments into 2 words: high, street. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

< välkommen till Highstreet.se - Personliga tröjor med eget namn & nummer - Trycks i Sverige « Leverans 2-5 dagar - Fraktfritt över 800:- > eae EE Gm MIDe Gile Chemis aie Cmte kontakt ord VÄTTyCkt...

Page Load Overview

7.84s
Total Load Time
6.3 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:13,079 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as sv

Website Classification

Primary Category

e-commerce shopping96% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

e-commerce shopping
96%
corporate
35%
adult content
34%
gambling betting
28%
e-commerce
20%

Detected Features

Search
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3723.227.38.74Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1923.227.38.65Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1923.227.39.20Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1923.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
19104.26.7.195Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1934.160.147.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
19138.199.36.11Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
19172.67.73.83Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
19192.178.183.97Google · CDNUnited States
AS15169Google LLC
45523--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T144B43B90B474557D065712FABB6DF684B7E6929BE30344A07AEC4F0C5F81FA188BB01E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:1KaO9SSjETFDkLIDrB8p9FtpDvGMHkRx05rOCx2E9v:1WL0rBhMHkRx05rOCx2E9v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:524937:IGBAETwAhPGkEQ7UW0yhKYsATCIHTkMfApQI9J7OggoCwApDA0sKYJCwJEAgGsxAxASR4DFNBQAAkAJqJAjreQgMYLeYAlEW

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:0000c3f3f3fb3030
Perceptual Hash:ed3013b8cca7f918
Difference Hash:c7d917273733d5d5
Wavelet Hash:e700c3f3f3fb2030
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data