Security Scan Report: lila-lastenrad.de

Redirected to:
https://www.lila-lastenrad.de/
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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 7 domains to perform 46 HTTP transactions. The main domain is lila-lastenrad.de and was registered 2 years 1 month ago.

Submitted URL: https://lila-lastenrad.de

Effective URL:
https://www.lila-lastenrad.de/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Legitimate-looking Bonn cargo-bike shop whose site is compromised: an obfuscated IClickFix/EtherHiding loader is injected, with five critical ClickFix/ EtherHiding IDS alerts and an analyst-vetted malicious kit match. Visitors risk drive-by malware.

Risk Factors (5)
Compromised page serving a ClickFix/EtherHiding malware loader to visitors
Analyst-vetted known malicious kit (IClickFix) matched in page HTML
Five critical IDS malware alerts for ClickFix and EtherHiding exfiltration traffic
Threat-intel hostnames concealed inside an obfuscated script
Malicious loader retrieves its next stage from a blockchain smart contract, evading takedown
Domain age information unavailable

Details

Page Title

Lastenrad – Dein Lastenradladen in Bonn und Umgebung

Scan Type

public

Domain Name Analysis

Within the German country-code top-level domain (.de), 'lila-lastenrad.de' is registered without a subdomain. The registrable portion 'lila-lastenrad' spans 14 characters with five vowels and 8 consonants; bonus characters include one hyphen. Word splitting yields 4 words: lila, last, en, rad. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lila-lastenrad.de

Page Load Overview

4.04s
Total Load Time
2.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:3,258 chars
Detector Agreement:75%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1084.118.11.29Dortmund, North Rhine-Westphalia, Germany
AS3209Vodafone GmbH
9192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
9192.0.77.48San Francisco, California, United States
AS2635Automattic, Inc
935.227.193.242Google · CDNKansas City, Missouri, United States
AS396982Google LLC
9172.67.175.246Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
465--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F7D32BF307B8C0F0295F8BADEEB6AB8D310AE0B5CB0554C5B2BCE55887C2DD55996B00

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+v3ifDD3AoAjWE5BPTgiAfIYZmSKGVecnYFBA4BYSSiWfBeAzB/SeiW0BeAABXkF:+v3DtjWE5BPTtAfIYZmSKGVecYTA4BY8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:136394:IUAooBTILIKGDIipSAgCAxvyLxEgFWUCccM5BORCKSGCIpBCIjGoAiQYCiSkGAUrSsLBFEFRBGCAUNAImFkHDBMQQ9FQhAYS

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:fecf0703010000ff
Perceptual Hash:b0b0d14f8f47ae07
Difference Hash:dc988c2fdf25dcd0
Wavelet Hash:fecfc703010034ff
Color Hash:#ac539c

Scan History

Scan history not available

Unable to load historical scan data