Security Scan Report: www.r-project.org

Submitted: Apr 13, 2026, 8:16:58 AMCompleted: Apr 13, 2026, 8:18:07 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 12 HTTP transactions. The main domain is r-project.org and was registered NaN years ago.

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

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #99,755.

Safety Factors
Well-established domain (ranked #99,755)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

www.r-project.org

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(45%)

Domain Information

The domain name 'www.r-project.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. The core label 'r-project' covers 9 characters holding two vowels versus 6 consonants, plus 1 hyphen. Breaking it apart gives 2 words: r, project. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.67s
Total Load Time
14
HTTP Requests
4
Domains
197 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:2,500 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical45% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
45%
technology software
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.14.95United States
7137.208.57.37Vienna, Vienna, Austria
AS1776WU (Wirtschaftsuniversitaet Wien) - Vienna University of Economics and Business
142--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BA048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ifQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszM2bMy8OldM:ZhoC9JSqzzbs6o3Sj3gcrsI2eAq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184476:kBjxnbNKIYBkQGbgBhBAqwAFIsIjBIBqGFiQgoqzAEVB0GBFRAAogBKOAT8EEKgQEjCw6EJBEjBR4h5nlcIByIDIkFYkkFYp

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:83c3c7c7dfdfdfff
Perceptual Hash:b4316ccc38313ecf
Difference Hash:3e1e0e1c20202020
Wavelet Hash:c2c282829ede9ede
Color Hash:#3a4e78

Other Hashes

Crop Resistant:3e1e0e1c20202020

Scan History

Scan history not available

Unable to load historical scan data