Security Scan Report: www.boell.de

Submitted: Jan 11, 2026, 6:10:54 AMCompleted: Jan 11, 2026, 6:12:42 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 6 domains to perform 210 HTTP transactions. The main domain is boell.de.

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

The Cisco Umbrella rank of the primary domain is #770,113 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site of the Heinrich Böll Stiftung with no security concerns.

Safety Factors
Official domain for Heinrich Böll Stiftung
Low ranking does not indicate risk for known brand with matching domain
No credential or payment collection
Domain age information unavailable

Details

Page Title

Heinrich-Böll-Stiftung

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

corporate business

(76%)

Domain Information

The domain name 'www.boell.de' uses the German country-code top-level domain (.de), featuring subdomain 'www'. The registrable portion 'boell' spans 5 characters with 2 vowels and three consonants. Breaking it apart gives 2 words: boe, ll. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

32.83s
Total Load Time
202
HTTP Requests
6
Domains
6.8 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:18,109 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business76% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
76%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
52172.66.161.180United States
AS13335CLOUDFLARENET
50142.250.185.138United States
AS15169GOOGLE
50185.5.82.119Germany
AS20546SOPRADO GmbH
5020.79.214.157Frankfurt am Main, Hesse, Germany
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2024--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A264662051E03D33049B44E62ABD972EAF42E90BCA4F4E81B7ED86569FD3E909D4353D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:+aLlTmULlTGLLlTm0LDLlTK1LlTm5LlTmtRWKJLlpmB0LlTm+LlTSYLlTwYw1VLG:OL6RWK7w1z9FE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:328634:kWXQIoSpBgAKBYSDBjCBDoFAGEIZEXRYn9gEZFGdYgIBEQ5QABImTENEEALQ4QWU7kLrwqXAGCJBonUICw0AFCIoAw1gBlmC

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:ff818181dbffc3cf
Perceptual Hash:b86dd2c2c338c6f1
Difference Hash:f033333333f09e8e
Wavelet Hash:ff81818181ffc3c3
Color Hash:#2dd28b

Scan History

Scan history not available

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