Security Scan Report: bestilling.nu

Redirected to:
https://admind.dk.linux11.curanetserver.dk/
Site favicon
Submitted: Sep 30, 2026, 4:50:36 AMCompleted: Sep 30, 2026, 4:51:42 AMpubliccompleted

This website contacted 41 IPs in 4 countries across 22 domains to perform 101 HTTP transactions. The main domain is admind.dk.linux11.curanetserver.dk and was registered 18 years ago.

Submitted URL: https://bestilling.nu

Effective URL:

https://admind.dk.linux11.curanetserver.dk/
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Genuine Danish software company (Admind A/S, Confirma Software) on shared hosting. Only a contact/demo form — no credential or payment collection, no malware, phishing, or threat-intel signals.

Risk Factors (1)
Page is served on a third-party shared-hosting subdomain (admind.dk.linux11.curanetserver.dk) rather than the canonical admind.dk, and the final registrable domain (curanetserver.dk) has unknown age
Safety Factors (4)
Self-branding: title/meta describe the company itself (Admind / Confirma Danmark A/S), not another entity
Verifiable real-world business details: CVR number, physical address, phone, privacy policy, personnel/company history dating to 2001
No credential or payment forms; the only form is a contact/demo request with captcha and WordPress nonce CSRF tokens
No threat-intel, YARA, IDS or behavioral malware signals; third-party scripts are ranked analytics/maps/fonts hosts
Domain age information unavailable

Details

Page Title

Admind / Confirma Danmark A/S Din komplette løsning

Scan Type

public

Domain Name Analysis

You're looking at domain 'bestilling.nu' on the .nu country-code top-level domain. Count 10 characters in 'bestilling' holding 3 vowels versus 7 consonants. Splitting it apart reveals two words: be, stilling. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bestilling.nu

Page Load Overview

6.63s
Total Load Time
4.6 MB
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:da-DK
Text Length:7,170 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business69% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
69%
government public service
55%
finance banking
55%
download file sharing
52%
technology software
51%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2194.231.109.204Denmark
AS48854team.blue Denmark A/S
2172.67.72.159Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
2142.251.127.119Google · CDNUnited States
AS15169Google LLC
2141.193.213.10Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2142.250.154.100Google · CDNUnited States
AS15169Google LLC
2142.251.157.119Google · CDNUnited States
AS15169Google LLC
23.174.46.44Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
10141--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14DA363599E846025126702C4DADD5B8CC2BDE203F641049EF3EE95BB8BC4DF821976EF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:gQDq1Gra7Ane7x0lVFk2Rx9C2v+SLRFqk2otrRdcu:FZgxIVHX2G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:101636:MiACIxwIAUFAIpqBAAfoNLRyiEAgAThUHgFRBNSQAsmQEFJgADrigkLGAhAAwBRHDVws6E1UkXVCBGAbgESCwEA0AwGM0Alo

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:ff000000003cffdf
Perceptual Hash:a24abd9378b542f8
Difference Hash:0fc5c5c18bd41f2b
Wavelet Hash:ff003000007effff
Color Hash:#732d86

Scan History

Scan history not available

Unable to load historical scan data