Security Scan Report: aronius.nu

Redirected to:
https://www.aronius.net/
Submitted: Sep 30, 2026, 5:10:14 AMCompleted: Sep 30, 2026, 5:10:52 AMpubliccompleted

This website contacted 12 IPs in 3 countries across 12 domains to perform 42 HTTP transactions. The main domain is aronius.net and was registered 17 years ago.

Submitted URL: https://aronius.nu

Effective URL:

https://www.aronius.net/
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Swedish forestry/tree-felling business site; own-brand content, only a standard contact form, no credential/payment fields, no malware or phishing signals. The lone threat-intel tag is generic abuse-reputation on a third-party host.

Risk Factors (2)
Contact form posts cross-origin to a third-party form backend (forms.ws-platform.net) — common for site builders but worth noting
Final domain (aronius.net) has no published age or reputation data; entry-domain age is not evidence about the final page
Safety Factors (4)
Content matches the domain's own brand (Aronius) — no impersonation of another entity
No credential-collection or payment fields anywhere on the page
Served by a mainstream site builder with ranked CDN/analytics scripts in the top-1M list
Standard contact/newsletter form typical of a legitimate small business site
Domain age information unavailable

Details

Page Title

Hem

Scan Type

public

Domain Name Analysis

You're looking at domain 'aronius.nu' on the .nu country-code top-level domain. The second-level label 'aronius' is 7 characters long holding 4 vowels versus three consonants. Word splitting yields 3 words: a, roni, us. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aronius.nu

Page Load Overview

1.64s
Total Load Time
5.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:1,689 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
83%
government public service
55%
documentation technical
40%
corporate business
38%
adult content
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
931.15.10.30Czech Republic
AS25234ACTIVE 24, s.r.o.
3194.9.94.85Sweden
AS39570Loopia AB
3194.9.94.86Sweden
AS39570Loopia AB
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.16.92.63Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.16.87.87Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.16.91.63Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.16.126.49Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
354.161.253.202Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3104.19.230.21Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4212--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DAC08CB7C021890FAB3026F8C9827894AF08920DC1321E44B6D0E2A6F448EEB848329C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYaXEQoqa:qzxV/5VHHoB96D3ne1k9Ycw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:348fc553335bda82dffebf49122dd182

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:7fffffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#539fac

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data