Security Scan Report: stm.dk

Site favicon
Submitted: Dec 11, 2025, 2:03:32 AMCompleted: Dec 11, 2025, 2:04:51 AMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 3 domains to perform 30 HTTP transactions. The main domain is stm.dk and was registered NaN years ago.

Submitted URL: https://stm.dk/presse/pressemeddelelser/2025/denmark-and-italy-gather-majority-to-push-for-the-council-of-europe-to-address-migration-and-security-challenges/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate government press release site with no security concerns.

Safety Factors
Established government domain
No credential or payment collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Denmark and Italy gather majority to push for the Council of Europe to address migration and security challenges - Statsministeriet

Scan Type

public

Language

🇺🇸

English

(44% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'stm.dk' uses the Danish country-code top-level domain (.dk) and has no subdomain. Its registrable label 'stm' stretches across 3 characters split between 0 vowels and three consonants. Segmentation suggests 1 word: stm. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stm.dk/presse/pressemeddelelser/2025/denmark-and-italy-gather-majority-to-push-for-the-council-of-europe-to-address-migration-and-security-challenges/

Page Load Overview

3.54s
Total Load Time
30
HTTP Requests
3
Domains
490 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:44%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:44%
Script Type:Latin
HTML Lang Attribute:da
Text Length:7,176 chars
Detector Agreement:75%
Language mismatch: Declared as da but detected as en

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.64.157.92Copenhagen, Capital Region, Denmark
AS58282Statens IT
323.56.205.206Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
323.36.162.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.36.162.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32a02:26f0:7100:8a0::f09Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32a02:26f0:7100:8a9::f09Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32a02:26f0:3500:18::1724:a29dFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32a02:26f0:3500:18::1724:a29aFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
308--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166F34460729A321F0BA75BB49681D707AED084D349C425CEB45E4B382FC2D5B9CBE17B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Ba5FQTeQKclIexQ4UQ4fAQTA6qstNv0hvHvomJTqQ+s/7/1i09sc+jbA3Rf:2WqQ+sDc0YbSl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:159184:BMzBgjwEEFgEgECVUIUCmrGQGBBhrWchB0GJCAPAETWAIBTpNQgkxBAcgwVAIowUCBggpxRxEwCMooF9ASiwCRKJCqHDBTRh

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:befe8e8e9f9fc5c5
Perceptual Hash:ba85c38c337197d8
Difference Hash:4a0e381c38283d1d
Wavelet Hash:fea28e868f1ec185
Color Hash:#9d53ac

Other Hashes

Crop Resistant:4a0e381c38283d1d

Scan History

Scan history not available

Unable to load historical scan data