Security Scan Report: montybaecker.de

Redirected to:
https://www.montybaecker.de/
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Submitted: Completed: publiccompleted
This website contacted 9 IPs in 3 countries across 11 domains to perform 106 HTTP transactions. The main domain is montybaecker.de and was registered 4 years 10 months ago.

Submitted URL: https://montybaecker.de

Effective URL:
https://www.montybaecker.de/
Redirected

AI Security Verdict

High Risk

Confidence: 65%

7
Risk Score

Established 4.8-year-old German antiques shop with no forms, no impersonation and no hunting rule/IDS hits, but a single-source unverified report tags its domain as a 'strelastealer' indicator — possible WordPress compromise; treat as risky until cleared.

Risk Factors (2)
Single-source, unverified threat-intelligence report categorising the primary domain as 'strelastealer' (malware) — an indicator that the WordPress installation may be compromised and serving a stealer payload to some visitors
Escalation applied because the reported threat type is content malware on the scanned domain itself, not generic abuse reputation
Domain age information unavailable

Details

Page Title

Startseite - Monty Bäcker - Handelskontor

Scan Type

public

Domain Name Analysis

The domain 'montybaecker.de' uses the German country-code top-level domain (.de) while skipping any subdomain. The core label 'montybaecker' covers 12 characters holding four vowels versus 8 consonants. Tokenizing the label suggests 3 words: monty, ba, ecker. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

SHOP MEIN KONTO WARENKORB KASSE VERSANDARTEN ZAHLUNGSARTEN WIDERRUFSBELEHRUNG AGB fv ® MONTY BÄCKER HAN DELSRONTOR [Essen 3 = STARTSEITE MEIN KONTO ANTIQUITÄTENHANDEL V = SCHATZUNGEN & GUTACHTEN UBE...

Page Load Overview

8.07s
Total Load Time
5.0 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:3,368 chars
Detector Agreement:95%

All Detected Languages

🇩🇪de(90%)🇸🇪sv(6%)🇺🇸en(2%)🇿🇦af(2%)

Website Classification

Primary Category

corporate business72% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
72%
government public service
52%
news media journalism
39%
news/blog
35%
corporate
35%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7846.30.213.176Copenhagen, Capital Region, Denmark
AS51468One.com A/S
11142.251.14.97Google · CDNUnited States
AS15169Google LLC
11142.251.110.95Google · CDNUnited States
AS15169Google LLC
11142.251.127.157Google · CDNUnited States
AS15169Google LLC
11142.250.154.94Google · CDNUnited States
AS15169Google LLC
8216.239.32.36Google · CDNUnited States
AS15169Google LLC
5142.251.14.94Google · CDNUnited States
AS15169Google LLC
3146.75.120.84Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
1069--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A444B5BF053B74491F397245D0983729A57ABD33F40138A4F7AD980EA2F5E9022F6A1D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:9I4d8kfEbm8bHABj/FzadQwb4J4qhG5s9L:gHANF61yGo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:254480:jKkESIMCEwB9HcienEwBCmREAQehkJLQUgEsKx8zAIIKjkwQkBOFkaEEQFJQQTFAglbJjIAgmJ1TCQBCJyWE6jqQNzmRABTA

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:81000000ffffdbd2
Perceptual Hash:f803f4a9d6698cd2
Difference Hash:0d0131004d121226
Wavelet Hash:c7000000fffffbd2
Color Hash:33e00000000

Scan History

Scan history not available

Unable to load historical scan data