Security Scan Report: www.ptj.de

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Submitted: Jan 10, 2026, 3:10:42 PMCompleted: Jan 10, 2026, 3:12:20 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 4 domains to perform 1 HTTP transaction. The main domain is ptj.de.

Submitted URL: https://www.ptj.de/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No security concerns identified; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms detected
Domain is unranked but lacks any other suspicious indicators
Domain age information unavailable

Details

Page Title

PtJ: Projektträger Jülich

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

government public service

(81%)

Domain Information

The domain 'www.ptj.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'www'. Count 3 characters in 'ptj' containing zero vowels alongside 3 consonants. Breaking it apart gives two words: pt, j. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ptj.de/

Page Load Overview

95.17s
Total Load Time
1
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:11,208 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service81% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
81%
corporate business
75%
technology software
58%
news media journalism
52%
adult content
29%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1134.94.32.103Solingen, North Rhine-Westphalia, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
0134.94.32.23Solingen, North Rhine-Westphalia, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
02--

Detected Technologies2

JQueryv3.7.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E3D3D7B1809D1A7F050353C62264EF09B0DFEA3BE61390A5F6FF035457F6C91A816A7A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:s5/xKmrDDwBz246zatYyQx7EUaSl8Tb7ELaJf7b5lTlfPy:+/K5Q7EVpf7E+JQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:132366:4BxiCqgASQjDAyrl4YKGIwHMgfJxSggD0AIgyKBFyAYII3STD1wAAGPAJEWh0FjAiwFyCZBWCIE4zETQARIAhopUCMIEbUcD

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:ff83818181ffff91
Perceptual Hash:bf33c4c16d965238
Difference Hash:642b2b0f2b093333
Wavelet Hash:b183818181ffff91
Color Hash:#a553ac

Scan History

Scan history not available

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