Security Scan Report: itcc.uni-koeln.de

Submitted: Jun 11, 2026, 10:41:30 AMCompleted: Jun 11, 2026, 10:44:32 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is itcc.uni-koeln.de.

Submitted URL: https://itcc.uni-koeln.de/en/services/information-security/it-security/phishing-scams-explained

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

itcc.uni-koeln.de

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(65%)

Domain Information

You're looking at domain 'itcc.uni-koeln.de' on the German country-code top-level domain (.de), featuring subdomain 'itcc'. The core label 'uni-koeln' covers 9 characters with four vowels and four consonants, notching one hyphen. Tokenizing the label suggests four words: uni, ko, el, n. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://itcc.uni-koeln.de/en/services/information-security/it-security/phishing-scams-explained

Page Load Overview

N/A
Total Load Time
5
HTTP Requests
0
Domains
N/A
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:187 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service65% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
65%
news media journalism
53%
healthcare medical
51%
adult content
49%
documentation technical
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5134.95.81.57Cologne, North Rhine-Westphalia, Germany
AS5520Universitaet zu Koeln
01--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137048F773296063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:F/Qho9PKBb9Js3q9Jzbs6tlg1ySBKw4Q9gcoIsPk2bMy8Oldx:GhoC9JSqzzbs6okSCggcpsc2eAb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185376:niUADy2CMAOHCBEHCj2KcgLBPghVjuAWIADQGAV4gEmBEhnLrGggQphwCugSKAASEgIMBIHq8zxLBFZSdGUDAhAgDhR+VPEE

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:ffcfc7f3ffffffff
Perceptual Hash:a1319bcecc6c3333
Difference Hash:00181c0600000000
Wavelet Hash:ffdfc3f300000000
Color Hash:#3a7863

Other Hashes

Crop Resistant:00181c0600000000

Scan History

Scan history not available

Unable to load historical scan data