Security Scan Report: www.bundeskanzlerin.de

Redirected to:
https://www.bundeskanzler.de/bk-de/
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Submitted: Jun 14, 2026, 4:11:06 PMCompleted: Jun 14, 2026, 4:11:59 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is bundeskanzler.de.

Submitted URL: http://www.bundeskanzlerin.de

Effective URL: https://www.bundeskanzler.de/bk-de/Redirected

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site impersonates the German Chancellor brand on a mismatched, unranked domain but lacks phishing forms or malware, resulting in moderate risk.

Risk Factors
Brand impersonation (domain mismatch)
Unranked domain
Potential typo‑squatting (bundeskanzlerin vs. bundeskanzler)
Safety Factors
No login or payment forms
No credential exfiltration observed
No malicious JavaScript or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

Der Bundeskanzler der Bundesrepublik Deutschland | Startseite

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

government public service

(85%)

Domain Information

You're looking at domain 'www.bundeskanzlerin.de' on the German country-code top-level domain (.de); it also runs on subdomain 'www'. The core label 'bundeskanzlerin' covers 15 characters containing five vowels alongside 10 consonants. It segments into two words: bundeskanzler, in. The median word length lands at 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.bundeskanzlerin.de

Page Load Overview

2.28s
Total Load Time
35
HTTP Requests
5
Domains
1.7 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:61 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service85% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
85%
news media journalism
50%
healthcare medical
27%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18185.173.231.39Germany
AS198913CONET Deutschland GmbH
17185.173.231.32Germany
AS198913CONET Deutschland GmbH
352--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A7B485B005D863ADD71D0B848F3BB83913FB34DBBAD9DEC11715DBB21A2A4A751288C5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:usNsqBDTo2N29S/S9sN5AU1KTONB2keVQsQi6yT25lN1T+V8I:uC29yubbulNHI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500004:tEgEkVkgbM0BKYBZyCRUQhG5SALSFcgJicDoUQAESBABAIUXc4EnNKAEKhH2EIREQjIHKgJGOWCRDCKjAZxaglIKspQGCIQi

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:ffff8181c1c181eb
Perceptual Hash:edc692b3c7294629
Difference Hash:4a3b2737131b1b13
Wavelet Hash:ffff8181818181e7
Color Hash:#40bfac

Scan History

Scan history not available

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