Security Scan Report: nioteas.se

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Submitted: Completed: publiccompleted
This website contacted 74 IPs in 5 countries across 42 domains to perform 814 HTTP transactions. The main domain is nioteas.se.

Submitted URL: https://nioteas.se

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Legitimate Swedish Shopify storefront for Nio Teas selling Japanese green tea and matcha. Self-branded domain, standard same-origin cart/search/newsletter forms, no credential or payment harvesting, and no threat-intel, hunting rule or IDS hits.

Safety Factors (5)
Site displays its own brand that matches the domain (Nio Teas / nioteas.se)
Storefront hosted on Shopify with standard same-origin checkout and cart endpoints
Only email collection is an opt-in newsletter field; no password or card fields on the page
No Indicators of Compromise, hunting rule, IDS, Safe Browsing or kit-roster hits
Consistent e-commerce content: product categories, shipping/returns policy, FAQ, contact info and article guides
Domain age information unavailable

Details

Page Title

Nio Teas ® - Det främsta varumärket för japanskt grönt te och Matcha

Scan Type

public

Domain Name Analysis

The domain name 'nioteas.se' uses the Swedish country-code top-level domain (.se). The registrable portion 'nioteas' spans 7 characters holding 4 vowels versus 3 consonants. Splitting it apart reveals two words: nio, teas. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

0,00 kr (0) _ | =, Fraktgobat @ BLACK FRIDAY Å 8 JULKALENDER v v v v v v v = . [ + stack rripay I [ + JULKALENDER ] Matcha Japanese Teas Teaware Samplers Tea Subscription — Find Your Tea Learn Info K...

Page Load Overview

20.02s
Total Load Time
41.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:25,019 chars
Detector Agreement:80%

Website Classification

Primary Category

healthcare medical70% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
70%
adult content
45%
corporate
35%
e-commerce
20%

Detected Features

Search
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1123.227.38.32Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
11104.17.95.19Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1123.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1118.173.205.113Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
11188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
11172.64.151.40Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1120.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
1123.50.131.149Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
11142.251.153.119Google · CDNUnited States
AS15169Google LLC
11142.251.110.148Google · CDNUnited States
AS15169Google LLC
81474--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5452AD2E066183E402342E5A89A7B90B1DA927BF34745D0F2FC47141FCEEA3796746E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:hQgR5Bkz6lelFjPylelFATToHul7j50PnG+4G+QSxzOlelFrj:LHTToHul7cf4fTfj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1205472:FRwEEJFhuAbZDIBBikkAwSHOkoEAEkSQEAE7BIQJkJGTAwIloqxPHgWSGLOxCBDxoqAIahl0mDIYCAWi40IMsBsAwRSRAIJD

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:00fffffff3c3c0e0
Perceptual Hash:e09e5a2c9b722d4e
Difference Hash:74c4c8cc86868488
Wavelet Hash:007f7ee6f3c2c0e0
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data