Security Scan Report: um.dk

Submitted: Oct 10, 2025, 6:41:55 AMCompleted: Oct 10, 2025, 6:43:14 AMpubliccompleted
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Summary

This website contacted 28 IPs in 4 countries across 12 domains to perform 83 HTTP transactions. The main domain is um.dk and was registered NaN years ago.

Submitted URL: https://um.dk/

AI Security Verdict

Low Risk

Confidence: 95%

2
Risk Score

Site appears legitimate; only minor risk from circular redirect

Risk Factors
Circular redirect detected, which can indicate URL manipulation or redirect loops
Safety Factors
Domain age over 27 years (well‑established)
Official government domain (um.dk) matching the Ministry of Foreign Affairs
No malicious Indicators of Compromise matches found
No credential or payment collection forms present
Content aligns with official Danish Ministry of Foreign Affairs information
Domain age information unavailable

Details

Page Title

Udenrigsministeriet

Scan Type

public

Language

🇩🇰

Danish

(80% confidence)

Category

government public service

(63%)

Domain Information

Within the Danish country-code top-level domain (.dk), 'um.dk' is registered without a subdomain. Count 2 characters in 'um' with one vowel and 1 consonant. Tokenizing the label suggests 1 word: um. 'um' most often appears in Portuguese. It also appears in Portuguese (Brazil) and Icelandic contexts. Taken together, it feels Portuguese with single-word simplicity.

Screenshot

Security scan screenshot of https://um.dk/

Page Load Overview

49.56s
Total Load Time
83
HTTP Requests
12
Domains
7.4 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:9,643 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
63%
blog personal website
44%
adult content
43%
forum community discussion
36%
news media journalism
29%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2934.149.104.24Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
235.190.93.146United States
AS396982GOOGLE-CLOUD-PLATFORM
2104.18.23.161United States
AS13335CLOUDFLARENET
252.212.125.22Dublin, Leinster, Ireland
AS16509AMAZON-02
234.98.105.146Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
295.175.105.198Finland
AS49282Ficolo Oy
2104.18.22.161United States
AS13335CLOUDFLARENET
213.226.244.81United States
AS16509AMAZON-02
2142.250.186.170United States
AS15169GOOGLE
2108.138.7.65United States
AS16509AMAZON-02
8328--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175B38A10ABF048A68C57FDED84D18715C8A4B74AE4A221B7BD6C87ED1B19C7DD823389

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:S8aEdtZEoLKRjzU9xyx6xamvSQ9LOHWQJTT:QzU9xyx6XvSQ9LOHWQJTT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:111510:yEmyswhQgAEQY7IBBWFIQBWODDIRiCBiMu0ZkAGFpgtAoAYFbIBUFAF7SWWCFgMAWChUypAIAJCCJ0ERIAADIIbkAwggMMGq

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:eb3ec1c13f85d026
Difference Hash:630f0f2f0f0dc9cb
Wavelet Hash:b181818181fdffe9
Color Hash:#78663a

Scan History

Scan history not available

Unable to load historical scan data