Security Scan Report: libernovo.com

Redirected to:
https://de.libernovo.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 81 IPs in 6 countries across 61 domains to perform 721 HTTP transactions. The main domain is libernovo.com and was registered 1 year 8 months ago.

Submitted URL: https://libernovo.com

Effective URL:
https://de.libernovo.com/
Redirected

AI Security Verdict

Safe Website

Confidence: 84%

1
Risk Score

German regional storefront for the LiberNovo chair brand on an established 617-day-old domain with self-branding, no credential or payment forms, and no threat-intelligence or malware signals; only informational IP-lookup IDS noise.

Safety Factors (6)
Domain age 617 days, risk category ESTABLISHED
Site displays its own LiberNovo brand consistently with the domain
No credential, password or payment collection forms
No Indicators of Compromise, YARA malware matches, Safe Browsing hits or kit-roster entries
Forms post to the same brand's subdomain (de.libernovo.com) rather than a third party
Page content is consistent marketing copy for a physical ergonomic chair product line (Kickstarter/crowdfunding history, design awards)
Domain age information unavailable

Details

Page Title

Der erste ergonomische dynamische Stuhl der Welt | LiberNovo – LiberNovo DE

Scan Type

public

Domain Name Analysis

Domain 'libernovo.com' uses the commercial generic top-level domain (.com) and has no subdomain. The core label 'libernovo' covers 9 characters split between four vowels and 5 consonants. Splitting it apart reveals two words: liber, novo. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://libernovo.com

Page Load Overview

9.78s
Total Load Time
52.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:12,885 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical98% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
98%
documentation technical
86%
adult content
81%
government public service
73%
technology software
69%

Detected Features

Search
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8123.227.38.74Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
823.227.38.65Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
8104.18.7.168Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
818.64.225.81Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
865.8.131.124Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
834.144.250.199Google · CDNKansas City, Missouri, United States
AS396982Google LLC
834.111.123.173Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8142.251.110.97Google · CDNUnited States
AS15169Google LLC
835.227.244.1Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8146.75.120.157Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
72181--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16F353B709178182D52634575BA907A097764A003F79B8A94F2DDAF29CF86FFE0F1B06C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:XmGM/p2bk15gk7//TjCOeGgBn/eWonr5cPkLWFXeKDCYOOdXydhouc2a:X9MV5gkz/TjCxGgB/eWonr52t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1094009:RF0GIAXEAmcIkgCIwOEUAwAhI4WAFIIowjIH0aNEGBRGgJ+KJsJOWAAIkGDAmkQQAGwTmmULDoHwCEGOgECucDUCEaFDAI8A

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:00001818181818ff
Perceptual Hash:9c37b61ce339cc30
Difference Hash:2c3133333333339c
Wavelet Hash:9e1d19b818181dff
Color Hash:#79a4d2

Scan History

Scan history not available

Unable to load historical scan data