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Security Scan Report: icmm.ku.dk

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Submitted: Oct 16, 2025, 2:11:40 PMCompleted: Oct 16, 2025, 2:13:20 PMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 6 domains to perform 40 HTTP transactions. The main domain is icmm.ku.dk and was registered NaN years ago.

Submitted URL: https://icmm.ku.dk/english/research-groups/r-miller-group/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears to be a legitimate university research group site with no security concerns.

Safety Factors
Domain age over 27 years (well‑established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms
Hosted on a reputable university domain (icmm.ku.dk)
Content consistent with academic research group
Domain age information unavailable

Details

Page Title

Miller R. Group – University of Copenhagen

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(46%)

Domain Information

The domain name 'icmm.ku.dk' uses the Danish country-code top-level domain (.dk) and includes subdomain 'icmm'. The second-level label 'ku' is 2 characters long with one vowel and 1 consonant. Splitting it apart reveals 1 word: ku. Expect two characters per word on average. 'ku' is most common in Albanian usage. You may catch it in Indonesian and Esperanto as well.

Screenshot

Security scan screenshot of https://icmm.ku.dk/english/research-groups/r-miller-group/

Page Load Overview

45.46s
Total Load Time
40
HTTP Requests
6
Domains
754 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:16,987 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service46% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
46%
adult content
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.16.174.226United States
AS13335CLOUDFLARENET
520.79.214.157Frankfurt am Main, Hesse, Germany
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
5104.16.175.226United States
AS13335CLOUDFLARENET
5130.226.237.173Copenhagen, Capital Region, Denmark
AS1835FSKNET-DK Forskningsnettet - Danish network for Research and Education
52603:1020:c01:4::48Frankfurt am Main, Hesse, Germany
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
52606:4700::6810:aee2United States
AS13335CLOUDFLARENET
52606:4700::6810:afe2United States
AS13335CLOUDFLARENET
407--

Detected Technologies6

Debian
40%
jsDelivr
20%
jQuery
20%
Piwik PRO Core
20%
Hammer.js
20%
DataTables
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10FA38423A8F8247F029793C660117B7E379AC04FC52A9922B4ECC7553F61DB16933A6D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7vUYqGtWJsoIqe17lty76t2kwSwBLZ+H79eCQEuFoj4slzFtrlxuPiP0L1:ZoIqe17lty76t2kwSwBLCQYz3rbuPicx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:98284:QgABAEBKUAAd0QFIL0Bg0wSU9BpUAhZzogQgIKKWU2LAAgaxBAAhASAE2IBJhUkAgx2AUChSEoigCAEglKgMbIKjkFbAyrYB

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:ff1000003c3c0000
Perceptual Hash:8eb1e49be4b0cb61
Difference Hash:3c21694769616965
Wavelet Hash:ffff18003c3c3c30
Color Hash:#c5a687

Other Hashes

Crop Resistant:3c21694769616965,9292929292d2d2d2,000030494c4c4d4d,6869606969696064

Scan History

Scan history not available

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