ScanMalware.com

Security Scan Report: www.rff.org

Submitted: May 23, 2026, 4:32:47 PMCompleted: May 23, 2026, 4:34:18 PMpubliccompleted

Summary

This website contacted 7 IPs in 1 country across 6 domains to perform 32 HTTP transactions. The main domain is rff.org and was registered 32 years ago.

Submitted URL: https://www.rff.org/news/press-releases/new-study-shows-sepsis-and-pneumonia-caused-by-hospital-acquired-infections-kill-48000-patients-cost-81-billion-to-treat/

AI Security Verdict

Safe Website

Confidence: 90%

0
Risk Score

The site appears legitimate: well‑established domain, no malicious indicators, and no credential‑phishing or malware activity.

Safety Factors
Long‑standing domain registration (>30 years)
Absence of login, payment, or credential‑harvesting forms
No malicious Indicators of Compromise or YARA matches
No network‑level IDS alerts
External links point to reputable services (Google Tag Manager, fonts.googleapis.com, etc.)
Domain age information unavailable

Details

Page Title

New Study Shows Sepsis and Pneumonia Caused by Hospital-Acquired Infections Kill 48,000 Patients; Cost $8.1 Billion to Treat

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

Domain 'www.rff.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. The registrable portion 'rff' spans 3 characters containing zero vowels alongside 3 consonants. Tokenizing the label suggests two words: r, ff. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of cdn.fundraiseup.com

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
6
Domains
N/A
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:729 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
64%
adult content
57%
government public service
49%
news media journalism
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1142.251.14.97United States
AS15169Google LLC
0172.67.69.197United States
AS13335Cloudflare, Inc.
0104.20.35.80United States
AS13335Cloudflare, Inc.
0172.66.146.217United States
AS13335Cloudflare, Inc.
0142.251.13.95United States
AS15169Google LLC
0104.26.3.3United States
AS13335Cloudflare, Inc.
0104.26.1.47United States
AS13335Cloudflare, Inc.
17--

Page Statistics

1
Requests
1
Unique Domains
0.0 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T110043AD226E4A17FE113C2AFDBB6E21436E99027FAB25800F96DC7104FC7D897927854

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+hW2Yt72IYbVCBwTBYHzvPH5TwQDBJpP8ZEH1rQuxti9g3w49LGR03XN1CDUltWB:2AtSIY4Y0UUltWZUltWCjSnCygWZ9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:175528:qOBAMmL4gBjSAOQDhpRFAAEAIleypIxETtSAQAIJQABkpQwkIjYSCQFowkhdJU0WmlAbBGQAARBjicTEYABxrgHIAQiJGyAi

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:bfc3c3c38181ffff
Perceptual Hash:b92493cf938c39c5
Difference Hash:7896968e3333231c
Wavelet Hash:88c3c3838181ffef
Color Hash:#402d86

Other Hashes

Crop Resistant:7896968e3333231c

Scan History

Scan history not available

Unable to load historical scan data