Security Scan Report: iwm-tuebingen.de

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Submitted: Jan 28, 2026, 3:33:53 AMCompleted: Jan 28, 2026, 3:35:14 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 69 HTTP transactions. The main domain is iwm-tuebingen.de and was registered NaN years ago.

Submitted URL: https://iwm-tuebingen.de/en

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate institute website with no security concerns.

Safety Factors
Well‑established domain (>10 years old)
Consistent branding with official institute name
Absence of suspicious forms or data collection fields
No known malicious Indicators of Compromise
No redirects or URL manipulation
Domain age information unavailable

Details

Page Title

IWM Tübingen

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

Within the German country-code top-level domain (.de), 'iwm-tuebingen.de' is registered while skipping any subdomain. The second-level label 'iwm-tuebingen' is 13 characters long containing 5 vowels alongside 7 consonants; it also includes one hyphen. It segments into four words: i, wm, tue, bingen. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://iwm-tuebingen.de/en

Page Load Overview

3.45s
Total Load Time
83
HTTP Requests
2
Domains
643 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:4,087 chars
Detector Agreement:75%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
83134.2.234.80Tübingen, Baden-Wurttemberg, Germany
AS553Universitaet Stuttgart
831--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T149140919A101DD1BB76A0C4AA579BFF6508BD077C21BCCB4A3B9C913CA85C7C17A36D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:gOKuBhoo//vA1bMeo9dvpeIVMx2Qle+zP4TVKO4BX:FXBho0NLpZSLBX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:197559:wBETJ16MEgSKFhgBDaSABQGAhhn1RUDoIIEAWIEJ2AwOIY5eBmZK5AyEBsDEQxFMAgBpDSuiaAAjJg70OMkJtE0wAxtMAQoj

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:ffffffff81838181
Perceptual Hash:bfc0cf3268c4933a
Difference Hash:c02838331f1f3333
Wavelet Hash:7fff8f8781818181
Color Hash:#b7bf40

Scan History

Scan history not available

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