Security Scan Report: journal.r-project.org

Submitted: Dec 14, 2025, 9:26:09 AMCompleted: Dec 14, 2025, 9:26:42 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is journal.r-project.org and was registered NaN years ago.

Submitted URL: https://journal.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: 98%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain with long registration history
High Cisco Umbrella ranking indicating reputable site
Official R Journal hosted by The R Foundation
Domain age information unavailable

Details

Page Title

Overview

Scan Type

public

Language

🇺🇸

English

(56% confidence)

Category

technology software

(77%)

Domain Information

Domain 'journal.r-project.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'journal'. The second-level label 'r-project' is 9 characters long containing two vowels alongside six consonants, along with one hyphen. Word splitting yields 2 words: r, project. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.05s
Total Load Time
19
HTTP Requests
1
Domains
826 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:56%
Script Type:Latin
Text Length:3,999 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
65%
education learning
37%
government public service
35%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19137.208.57.37Vienna, Vienna, Austria
AS1776WU (Wirtschaftsuniversitaet Wien) - Vienna University of Economics and Business
191--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE73081EB6A315063977506EBFEFA5457369C007C08DCAAA7DDC821CCF8D3A59162B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:bN/quGilVYiPAp0nXT3QzP2BB7Lb0x606X7fn8pmcmBKAA3cY7dj/H:bNTGil1PAad9ncmcmwAecYVP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80083:QkAVBCCmHRaCmGq8VsShCAAQUGRGwYRU4FERIRIsOJAeQEAAgD8zBioMghQBmqAWQ4pCGP1CgISAqwpAbDuoBiPTfKyIkxEI

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:dfdfc3c3cfdfc3c3
Perceptual Hash:bcc7c89a3265c363
Difference Hash:a03616063e301716
Wavelet Hash:de838383879fc383
Color Hash:#d0e06c

Other Hashes

Crop Resistant:a03616063e301716

Scan History

Scan history not available

Unable to load historical scan data