Security Scan Report: www.igb-berlin.de

Redirected to:
https://www.igb-berlin.de/
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Submitted: Jun 13, 2026, 11:37:26 AMCompleted: Jun 13, 2026, 11:38:18 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is igb-berlin.de.

Submitted URL: http://www.igb-berlin.de

Effective URL: https://www.igb-berlin.de/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears legitimate with no phishing, malware, or brand‑impersonation indicators.

Safety Factors
Domain matches the official institute name (igb-berlin.de)
Standard hosting with no suspicious redirects
Absence of credential exfiltration or malicious scripts
Unranked status is not a risk here as no brand impersonation is present
Domain age information unavailable

Details

Page Title

Leibniz-Institut für Gewässerökologie und Binnenfischerei (IGB)

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

government public service

(27%)

Domain Information

The domain name 'www.igb-berlin.de' uses the German country-code top-level domain (.de), featuring subdomain 'www'. The core label 'igb-berlin' covers 10 characters with 3 vowels and 6 consonants, plus 1 hyphen. It segments into 3 words: i, gb, berlin. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.igb-berlin.de

Page Load Overview

1.80s
Total Load Time
60
HTTP Requests
2
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:12,015 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service27% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
60149.233.9.85Germany
AS203329NTT Global Data Centers EMEA GmbH
601--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E3B3D56181E0263B055356D06968E72AAB43D25BDF071644F3EC47AFAFD7EA0CC1B22D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XfiZsdeUDQmLYOqN+KITgMI2KjSFC/J9N3tWusIuQdgVw4jOTHqC1Kfq3ZNRZV9Q:mKABmO0r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:110812:ohTgMRIBQFzIhAAsrIpEEaABMxQLRcI9ggYBJBoAG3HUaBg5oxIIQGACAWIFC1AOFsAdK4+ysw0pwGMkAIi40CkBWBgdiSbA

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:ff0000040007ffe7
Perceptual Hash:b60ee9d8e5ca32a2
Difference Hash:2af46d6c6c3c2a0e
Wavelet Hash:ff000406040fffff
Color Hash:#ae2dd2

Scan History

Scan history not available

Unable to load historical scan data