Security Scan Report: xn--rn-yia.nu

Redirected to:
https://www.xn--rn-yia.nu/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 15 IPs in 2 countries across 14 domains to perform 33 HTTP transactions. The main domain is xn--rn-yia.nu.

Submitted URL: https://xn--rn-yia.nu

Effective URL:
https://www.xn--rn-yia.nu/
Redirected

AI Security Verdict

Safe Website

Confidence: 80%

1
Risk Score

Legitimate Swedish law firm site (Salmi & Partners) about robbery defence cases; published addresses and phones, no forms or credential collection, no threat-intelligence, malware or IDS hits.

Safety Factors (5)
Self-branding consistent with domain; no impersonation of another entity
Verifiable physical addresses and phone numbers for a Swedish law firm
Zero credential, payment or disguised input fields
No indicators of compromise, malware patterns or IDS alerts
Cross-origin requests limited to Google Analytics, a normal analytics call
Domain age information unavailable

Details

Page Title

Rån | Är du misstänkt? Kontakta oss!

Scan Type

public

Domain Name Analysis

Within the .nu country-code top-level domain, 'xn--rn-yia.nu' is registered while skipping any subdomain. The second-level label 'xn--rn-yia' is 10 characters long with 2 vowels and five consonants; bonus characters include 3 hyphens. It segments into 4 words: xn, rn, yi, a. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

RAN Vi har brottmal som specialitet Hem | Ran | Brottmal | Fraga advokaten | Nyheter | Kontakta ety ae epel aI > k, sam§ PARTNERS HOR AV DIG TILL OSS OM DU BEHOVER HJALP I RATTEN Valkommen!. Vi...

Page Load Overview

1.09s
Total Load Time
608 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:SV-se
Text Length:5,911 chars
Detector Agreement:100%

All Detected Languages

🇸🇪sv(99%)🇩🇪de(1%)

Website Classification

Primary Category

government public service84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
84%
adult content
82%
blog personal website
68%
news media journalism
61%
education learning
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13142.251.13.97Google · CDNUnited States
AS15169Google LLC
5188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.67.71.71Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
274.125.29.95Google · CDNUnited States
AS15169Google LLC
23.68.61.161Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2216.239.32.36Google · CDNUnited States
AS15169Google LLC
2188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.9.38Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3315--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139924E338990A11F20A1D16EF562A15E189EA00FC6755AC4719F496D8F4BEEF092F3CF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:PxWjb6L7HlapLL/Vbj0DxBXptH1KYmmPOCSdeJuNPvibiDv7P0:2bQ7HlapZmBj1KYS7eJ6Pq+Dv7P0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20375:uDERJWAz4fAEWNAAcgRSRjAIbM1CJA0aAg4SMaKkBjtYAUAjjCsOKQwiaBOAAjVOAWIRAGuqk1BiCELCJInBgQQAAOBKhAQA

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:ff00000000ffffff
Perceptual Hash:ad1ef6c181b9a60e
Difference Hash:2a392bb2e28f3233
Wavelet Hash:ff00000000ffffff
Color Hash:0e206000000

Scan History

Scan history not available

Unable to load historical scan data