Security Scan Report: www.r-project.org

Submitted: Dec 14, 2025, 9:32:09 AMCompleted: Dec 14, 2025, 9:32:35 AMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 2 domains to perform 7 HTTP transactions. The main domain is r-project.org and was registered NaN years ago.

Submitted URL: https://www.r-project.org/foundation/

The Cisco Umbrella rank of the primary domain is #99,755 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate R Foundation site with no security concerns.

Safety Factors
Established organization (R Foundation)
Official domain r-project.org
No suspicious redirects or hidden fields
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

R: The R Foundation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

The domain 'www.r-project.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. The registrable portion 'r-project' spans 9 characters with 2 vowels and 6 consonants, along with 1 hyphen. Tokenizing the label suggests two words: r, project. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.r-project.org/foundation/

Page Load Overview

1.75s
Total Load Time
7
HTTP Requests
2
Domains
121 KB
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:1,837 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
70%
download file sharing
47%
government public service
45%
adult content
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.140.170United States
AS15169GOOGLE
2137.208.57.37Vienna, Vienna, Austria
AS1776WU (Wirtschaftsuniversitaet Wien) - Vienna University of Economics and Business
22a00:1450:4001:811::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
73--

Detected Technologies2

JQueryv1.11.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F0C182A790C9410B0736120A2C7135ACEE635267AF196D37B05DA929AF42B53CE7728F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nYFq5OxDXcScof4AtNKESSV8pyt0+8+UIeYA1t7GfbEjdXHxMXMavTOS:F5OxDXqAtNeWKV+UyAn7GfojBBzS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5706:gxAMBJCKBUQNrEYAhgKIHQ4EIgiACAzACAGQEgEAAKEMsABCAUEiQmEIICQgAQAowQAgRAglACZxGAAglQuIDBgFIAQAFBUA

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:87c3c3c7ffdfdfff
Perceptual Hash:b4313b9898383bdb
Difference Hash:3e0e0e1e20202020
Wavelet Hash:c2828282dede9ede
Color Hash:#d0e06c

Other Hashes

Crop Resistant:3e0e0e1e20202020

Scan History

Scan history not available

Unable to load historical scan data