Security Scan Report: www.bundesumweltministerium.de

Submitted: Nov 20, 2025, 6:29:31 AMCompleted: Nov 20, 2025, 6:31:55 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 17 HTTP transactions. The main domain is bundesumweltministerium.de and was registered NaN years ago.

Submitted URL: https://www.bundesumweltministerium.de/en/topics/international/oecd

The Cisco Umbrella rank of the primary domain is #873,399 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Site likely impersonates a German ministry on a low‑rank, recently registered domain – high risk.

Risk Factors
Brand impersonation of a government ministry on a low‑ranking domain
Recent domain registration for a site claiming official status
Low Cisco Umbrella ranking (ranked between 100k‑1M)
Visible spelling/grammar mistakes suggesting a fraudulent copy
Domain age information unavailable

Details

Page Title

BMUKN: OECD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(79%)

Domain Information

You're looking at domain 'www.bundesumweltministerium.de' on the German country-code top-level domain (.de), featuring subdomain 'www'. The core label 'bundesumweltministerium' covers 23 characters containing 9 vowels alongside 14 consonants. Breaking it apart gives seven words: bun, de, sum, welt, minister, i, um. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bundesumweltministerium.de/en/topics/international/oecd

Page Load Overview

1.49s
Total Load Time
17
HTTP Requests
1
Domains
321 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:7,569 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
79%
corporate
25%
news/blog
20%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1745.12.50.175Germany
AS29423gridscale GmbH
82a06:2380:2:1::d8Germany
AS29423gridscale GmbH
172--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T168D344438DA1B53A038785F029F6EE48DEF91217CD4698097DBE423C4F65ED29CA361B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:e2AGSTnH3vq07sl7c3p/0uzXwgEX/Ag8vDcygokOLLMH0QsuTTmO05ZD7pWd0Mq:dsTZJzHEEBkOLLMH0QsSTmn5V7pW+Mq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:138261:RQAxQiECBiQBASDhKNqqpRRiI0AATAQCX8XBFQJGSERmAKYpUMEW4JOIgxqE7CiRAEYCzADw0BoBYwRCCAxIACpUABEyhYop

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:ff000000ffffffff
Perceptual Hash:b04e9ff59dcb2030
Difference Hash:616395811496161e
Wavelet Hash:bf000000c3ffcfdf
Color Hash:#d2798c

Other Hashes

Scan History

Scan history not available

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