Security Scan Report: leibniz-ifl.de

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Submitted: Jan 1, 2026, 3:06:53 AMCompleted: Jan 1, 2026, 3:08:03 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 133 HTTP transactions. The main domain is leibniz-ifl.de.

Submitted URL: https://leibniz-ifl.de/

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Legitimate institute website with no detected threats.

Safety Factors
Domain appears to be the official site of the Leibniz Institute for Regional Studies
No suspicious external links or redirects
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Willkommen am Leibniz-Institut für Länderkunde (IfL) – Leipzig

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

social media network

(27%)

Domain Information

Domain 'leibniz-ifl.de' uses the German country-code top-level domain (.de) without a subdomain. Its registrable label 'leibniz-ifl' stretches across 11 characters holding 4 vowels versus six consonants; bonus characters include 1 hyphen. Tokenizing the label suggests two words: leibniz, ifl. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://leibniz-ifl.de/

Page Load Overview

2.73s
Total Load Time
107
HTTP Requests
1
Domains
1.8 MB
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:5,391 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network27% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
107185.243.133.230Germany
AS15817Mittwald CM Service GmbH & Co. KG
1071--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17404B52285F8347A05A24372A6749F29BF16A2A3E4163D64F2BC038DDFD1F928D4375D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3/MznniMIzAFiwHXSMIHeYiGLgYq8dTMB4:3/MznniMIzAFiwHXSMIH1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:176816:CIBo2ZQBJlyBEZD4NRITMHhUE2CZS9AAHBwH0EUhYAAqKchcAoASgFBDQTIIzEgwgE7BoZPqghAA0CAhwww4ACBgcGM0JmDQ

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:ff8505070600ffff
Perceptual Hash:be3cc06e95d42e92
Difference Hash:20396d6c6d654580
Wavelet Hash:ff8105060600ffff
Color Hash:#879cc5

Scan History

Scan history not available

Unable to load historical scan data