Security Scan Report: liberland.org

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Submitted: Jan 14, 2026, 6:44:17 PMCompleted: Jan 14, 2026, 6:46:00 PMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 9 domains to perform 90 HTTP transactions. The main domain is liberland.org and was registered NaN years ago.

Submitted URL: https://liberland.org

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain (>10 years old)
No password or payment collection forms
Only a single email field present (likely newsletter signup)
No malicious Indicators of Compromise detected
No redirects to suspicious external sites
Domain age information unavailable

Details

Page Title

Liberland

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(53%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'liberland.org' is registered. Count 9 characters in 'liberland' with 3 vowels and six consonants. Segmentation suggests two words: liber, land. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://liberland.org

Page Load Overview

4.81s
Total Load Time
128
HTTP Requests
16
Domains
2.5 MB
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:53,086 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain53% confidence
Type: spa
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
53%
corporate
25%
news/blog
20%

Detected Features

Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16142.250.185.202United States
16172.66.172.219United States
AS13335CLOUDFLARENET
16142.250.186.131Switzerland
1620.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
16142.250.185.206UnknownUnknown
16157.230.30.242Frankfurt am Main, Hesse, Germany
AS14061DIGITALOCEAN-ASN
16157.230.103.210Frankfurt am Main, Hesse, Germany
AS14061DIGITALOCEAN-ASN
16142.250.186.142UnknownUnknown
1288--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DA74F96195103359CD8F61EDF76EDBCE232A10AEF63648C4ABBD4B48878ED80FD25458

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:KzM/eS5Ts1gumMLnXEINvnbHwtC6LYOQOyU2SLZaGp37yJqkjpcWvEmi7vg3jPS1:8xpcoUpzvOKP/3HI0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:341973:dwe0AUSNKRTgLRgLMpVEyNkaNBKgEGiUZHUIDBihYQgtVBkEVRBoAEUQiDEAFgA2xMB1QoAME2oOSAGIWjABwF5AEmYiwZCx

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:ffff0000000000c3
Perceptual Hash:aac7f7c5f140f048
Difference Hash:cd6d9d31310df10f
Wavelet Hash:ffff0f01010101ff
Color Hash:#77862d

Scan History

Scan history not available

Unable to load historical scan data