Security Scan Report: um.dk

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Submitted: Dec 29, 2025, 5:30:04 PMCompleted: Dec 29, 2025, 5:31:30 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 9 domains to perform 77 HTTP transactions. The main domain is um.dk and was registered NaN years ago.

Submitted URL: https://um.dk

The Cisco Umbrella rank of the primary domain is #605,538 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Danish government website with no security concerns.

Safety Factors
Established government domain
No suspicious forms or data collection
No known malicious Indicators of Compromise
Content matches official Danish foreign ministry branding
Domain age information unavailable

Details

Page Title

Udenrigsministeriet

Scan Type

public

Language

🇩🇰

Danish

(80% confidence)

Category

government public service

(87%)

Domain Information

You're looking at domain 'um.dk' on the Danish country-code top-level domain (.dk) while skipping any subdomain. The registrable portion 'um' spans 2 characters containing 1 vowel alongside 1 consonant. Breaking it apart gives one word: um. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://um.dk

Page Load Overview

18.75s
Total Load Time
74
HTTP Requests
12
Domains
12.7 MB
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:da
Text Length:8,864 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
87%
news media journalism
79%
adult content
69%
blog personal website
67%
forum community discussion
52%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1434.149.104.24Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
654.192.35.122United States
AS16509AMAZON-02
634.98.105.146Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
635.190.93.146United States
AS396982GOOGLE-CLOUD-PLATFORM
6104.18.22.161United States
AS13335CLOUDFLARENET
695.175.105.198Finland
AS49282Ficolo Oy
6108.138.7.65UnknownUnknown
6104.18.23.161United States
AS13335CLOUDFLARENET
6108.138.7.97UnknownUnknown
654.192.35.76UnknownUnknown
7411--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CFB38A10ABF448A68C57FDED84D18705C8A4B74AE4A221F7BD6C87ED1B19C7DD823389

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:W8aEdtZEoLKRjz/upgyx6xameSQ9LOmWQJTT:kz/upgyx6XeSQ9LOmWQJTT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109267:IQoQPGyEGMJg4UsiABcDoRSERDQIFh0gFAhNC2iRkoNQQIMRAAjwMLUaYBFBFcMwSJwsiNECQMMEIHiZKKGEwcKXRicOJkoD

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:ff81818181ffffff
Perceptual Hash:af3ec1c12bc1d03e
Difference Hash:432f2f2b2f0dc9cb
Wavelet Hash:b181818181ffffe1
Color Hash:#1f5f93

Scan History

Scan history not available

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