Security Scan Report: diebayerische.de

Submitted: Jan 19, 2026, 6:30:44 PMCompleted: Jan 19, 2026, 6:32:25 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 31 HTTP transactions. The main domain is diebayerische.de.

Submitted URL: https://diebayerische.de

The Cisco Umbrella rank of the primary domain is #782,295 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Phishing site impersonating Google/eBay; do not provide any data.

Risk Factors
Brand impersonation/typosquatting on an untrusted domain
Low ranking for brand claim (rank > 100k)
Domain age unknown, increasing suspicion
Domain age information unavailable

Details

Page Title

Versichern, vorsorgen und Vermögen aufbauen | die Bayerische

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

The domain name 'diebayerische.de' uses the German country-code top-level domain (.de) without a subdomain. The second-level label 'diebayerische' is 13 characters long split between 6 vowels and seven consonants. Tokenizing the label suggests two words: die, bayerische. Median word length is 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://diebayerische.de

Page Load Overview

8.19s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
68%
adult content
62%
news media journalism
48%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1145.253.101.123Leverkusen, North Rhine-Westphalia, Germany
AS3209Vodafone GmbH
034.102.149.160Germany
12--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E64F85044F00D3B123243E5BB7CEA19AFC5F253C789A44CB4ED039A6FA6D16AE0796D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:vPnFJ9CuHRimOzJC5YeZ9uEfn8vCh48rdBQNu1a4yztHslzN5nYev7YcddvnNVxR:n7imOzJsx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:319338:GwgFpBGdAhQwEAwBwhIkjYwUBYBVgZeQJiRqJMAoUWkSIEcMAEYywBEJaIQTYAJYCBUIJBASDzYQCggjOAUsYSAIAoc1SBZR

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:007e7c7c7c700000
Perceptual Hash:c2963d6d1a39652d
Difference Hash:ccecc0dce0c083d5
Wavelet Hash:007e7e7e7e78003c
Color Hash:#bf6ce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data