Security Scan Report: tenpoints.se

Redirected to:
https://tenpointsfootwear.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 32 IPs in 3 countries across 21 domains to perform 370 HTTP transactions. The main domain is tenpoints.se.

Submitted URL: https://tenpoints.se

Effective URL:
https://tenpointsfootwear.com/
Redirected

AI Security Verdict

Safe Website

Confidence: 76%

1
Risk Score

Legitimate Ten Points footwear online store (Shopify). Brand-consistent self-branding, no credential/payment forms, and no threat-intel, hunting rule or IDS hits. Domain redirect to tenpointsfootwear.com is an ordinary brand domain move.

Safety Factors (5)
Self-branding detected: title/meta 'Ten Points' matches the domain, not a third-party brand
No password, payment or disguised credential fields on the page
No threat-intel, hunting rule, IDS or kit-roster hits
Established e-commerce infrastructure (Shopify storefront, standard analytics and marketing scripts)
Legal/informational content present (about, shoe care, privacy policy reference)
Domain age information unavailable

Details

Page Title

Shop shoes and boots online for women & men – Ten Points

Scan Type

public

Domain Name Analysis

Domain 'tenpoints.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. The second-level label 'tenpoints' is 9 characters long split between 3 vowels and 6 consonants. Segmentation suggests two words: ten, points. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

We sip worwido. Free delivery to mast of the EU for orders over 100 EUR/T000 DKK/1000 SEK © © English» €D sweden (SEK i TEN POINTS’ SWEDEN - EST. 1983 +o NEWS WOMEN MEN ~ OUTLET y SHOECARE y ABOUT...

Page Load Overview

3.98s
Total Load Time
5.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:51,255 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping86% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
86%
adult content
26%
e-commerce
20%

Detected Features

Search
Products
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2923.227.38.65Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1123.227.39.20Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1134.144.250.199Google · CDNKansas City, Missouri, United States
AS396982Google LLC
11142.251.154.4Google · CDNUnited States
AS15169Google LLC
11172.67.73.221Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1118.66.102.6Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
11172.67.169.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
11185.199.111.153Fastly · CDNUnited States
AS54113Fastly, Inc.
1134.160.147.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1166.241.124.143United States
AS40509Fly.io, Inc.
37032--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DB75C55060F0153BC07383EA6D642B656B75E71BC3554CC1B9DE0B788FA8EA1F913B2A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:65rcDusgjK8FBz8gQ2irccNuipVGPR8LT:61cDusgjK8FBz1cBvKOf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1672748:eDECgkgBgAD6HBlZQKB9RjWACEgqaCE94l0TEpgBgxHIkEgALcAKIAllxBkBvSqOHYgBJDqIbPhiBACBIASCNK0yoojQuQii

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:fd00181818180707
Perceptual Hash:88c9374f9c1d4a37
Difference Hash:29cdb13131b15f5d
Wavelet Hash:ffff581818190707
Color Hash:1e603000000

Scan History

Scan history not available

Unable to load historical scan data