Security Scan Report: matomo.org

Submitted: Jan 8, 2026, 2:00:23 PMCompleted: Jan 8, 2026, 2:01:43 PMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 7 domains to perform 99 HTTP transactions. The main domain is matomo.org and was registered NaN years ago.

Submitted URL: https://matomo.org

The Cisco Umbrella rank of the primary domain is #471,919 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Established domain with long registration history
Clean threat intelligence profile
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Privacy-first Google Analytics Alternative - App & Web Analytics - Matomo

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

technology software

(81%)

Domain Information

The domain 'matomo.org' uses the non-profit oriented generic top-level domain (.org) without a subdomain. Its registrable label 'matomo' stretches across 6 characters containing three vowels alongside 3 consonants. Word splitting yields 2 words: mato, mo. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://matomo.org

Page Load Overview

4.96s
Total Load Time
99
HTTP Requests
7
Domains
572 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:8,504 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
81%
government public service
65%
documentation technical
46%
blog personal website
41%
cryptocurrency blockchain
37%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1134.102.170.124Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
835.201.111.240Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
818.165.140.53United States
AS16509AMAZON-02
834.149.254.14Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
835.190.14.188United States
AS396982GOOGLE-CLOUD-PLATFORM
818.165.140.29United States
AS16509AMAZON-02
83.164.68.120United States
AS16509AMAZON-02
818.165.140.85United States
AS16509AMAZON-02
818.165.140.112United States
AS16509AMAZON-02
83.164.68.53United States
AS16509AMAZON-02
9912--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D86474A13C87283A316F329F9007B14C60D6CDEDE566B6E1F5B69126F2B5DE033E2215

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:nFE479Y9KmFpu3fnzZO7jlYHCdo67/SfxDH8/Q+6f2UB4JHS2edan9aaSiG/1s:6479Y9KmFpIO7jmHCdo67KxQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:316975:JSRNbk4gAFYEOCA6HIYGYCQAC7IBAAoMaJBzMkQwOCESMhkAiUaYAEgmAEGR0SSRSJIymGChIWoMU82cAASMhFJEcrMECLAI

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:0000dbffffe7f7f3
Perceptual Hash:ec5b6842cac9e2ec
Difference Hash:693733332b8e0606
Wavelet Hash:0000819bf3e7f7f3
Color Hash:#87b3c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data