Security Scan Report: www.getmonero.org

Submitted: Nov 21, 2025, 8:16:39 AMCompleted: Nov 21, 2025, 8:19:10 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 1 domain to perform 24 HTTP transactions. The main domain is getmonero.org and was registered NaN years ago.

Submitted URL: https://www.getmonero.org/

The Cisco Umbrella rank of the primary domain is #677,209 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate site but contains a malicious external link; avoid clicking the .onion URL.

Risk Factors
Presence of a malicious Indicators of Compromise link to a known malware .onion site
Low Cisco Umbrella ranking for a site claiming to be a well‑known brand
Safety Factors
Well‑established domain age (>10 years)
Official brand domain with correct final URL
No login, password, or payment forms present
No phishing language or deceptive UI elements
Domain age information unavailable

Details

Page Title

Home | Monero - secure, private, untraceable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(72%)

Domain Information

Domain 'www.getmonero.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. Count 9 characters in 'getmonero' with 4 vowels and 5 consonants. Segmentation suggests 3 words: get, mon, ero. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.getmonero.org/

Page Load Overview

0.32s
Total Load Time
24
HTTP Requests
1
Domains
3.6 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:3,742 chars
Detector Agreement:80%

Website Classification

Primary Category

cryptocurrency blockchain72% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
72%
finance banking
35%
technology software
33%
download file sharing
31%
documentation technical
30%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24138.113.69.115Frankfurt am Main, Hesse, Germany
AS54994ML-1432-54994
8163.171.128.148Frankfurt am Main, Hesse, Germany
AS54994ML-1432-54994
8163.171.242.37United States
AS54994ML-1432-54994
243--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E4E2D23254F0223742B2559577512B1AEE83E507DE1B5E06B3BC1ACA5FE3F82CC17A49

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:D88BccJ/xA8ZlsBtDiatEdOe63+vI0GcbgDveGgtoE+47Vzgp:D88T/x3smGDMZtbzlgp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33528:ASoAA5hQgjoCoKrBgNgFChmAoCZEzEx0SUlUPoOyMA5gOEAvAZKWBIBMAkoaR0GnDqQSVEQwwwJcAATAoSR3AEFZw0FhI1Qy

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:dfffcf8383fffffb
Perceptual Hash:b133cece3861ce38
Difference Hash:26d89e1e1bc094f6
Wavelet Hash:127e0203017f7f7b
Color Hash:#e06cd8

Other Hashes

Scan History

Scan history not available

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