Security Scan Report: xn--trning-cua.nu

Redirected to:
https://traning.nu/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 11 IPs in 1 country across 6 domains to perform 33 HTTP transactions. The main domain is xn--trning-cua.nu.

Submitted URL: https://xn--trning-cua.nu

Effective URL:
https://traning.nu/
Redirected

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Self-branded Swedish training-equipment guide on traning.nu with editorial content, no forms, no impersonation and no threat-intel, hunting rule or IDS hits. The punycode entry host simply redirects to its own domain.

Safety Factors (4)
Self-branding matches the destination domain (traning.nu), no impersonation of another entity
No credential, login or payment forms anywhere in the captured DOM
No threat-intelligence, hunting rule, kit-roster or IDS findings
Third-party scripts limited to ranked analytics hosts (Google Tag Manager / Analytics / DoubleClick)
Domain age information unavailable

Details

Page Title

Träningsutrustning: Skivstänger, hantlar, vikter & maskiner — Träning.nu

Scan Type

public

Domain Name Analysis

The domain name 'xn--trning-cua.nu' uses the .nu country-code top-level domain and has no subdomain. The registrable portion 'xn--trning-cua' spans 14 characters holding three vowels versus eight consonants; bonus characters include 3 hyphens. Tokenizing the label suggests five words: xn, tr, ning, cu, a. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

tronino.nu Skivstanger Hantlar Stallningar & rack LYFT DIN TRANING TILL NYA HOJDER MED HJALP AV VAR TRANINGSGUIDE Lat dig inspireras och hitta ratt traningsutrustning, alltifran skivstanger, hantla...

Page Load Overview

3.99s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:2,555 chars
Detector Agreement:100%

All Detected Languages

🇸🇪sv(98%)🇳🇴no(2%)

Website Classification

Primary Category

e-commerce shopping99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
99%
education learning
85%
healthcare medical
36%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24172.67.196.63Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.21.3.165Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
3216.239.32.36Google · CDNUnited States
AS15169Google LLC
3142.251.127.156Google · CDNUnited States
AS15169Google LLC
3192.178.183.94Google · CDNUnited States
AS15169Google LLC
3172.67.130.242Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.127.157Google · CDNUnited States
AS15169Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
2104.21.76.148Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3311--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1508319E25414703E4B2AAB9872DDF32862527006CF455AE3B3F6619C9781BF609F207F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:zFypliWO2O9CQy+IBImYy+S8UJYGo9ccyw5vTcL0XrFDvjESp8:zAROdC3+IBIry+K7cyw5vTNEz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86727:ImCRAQiCwZBLqASgkLgFLYlqiho7GCkQPigpBMR4ICyaIOJq4DYTCAmqyglwiEEAhzwEAEASA0QEIgMSBIs0F3AJQilxSkqT

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:ff000000fffbfbff
Perceptual Hash:cd16b0e9b269b6c4
Difference Hash:c46363613333532f
Wavelet Hash:7b000000fbf1f9ff
Color Hash:1e406000000

Scan History

Scan history not available

Unable to load historical scan data