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Advanced Web App Security Monitoring Shiny App for Digital Forensic Specialists
Advanced Web App Security Monitoring Shiny App for Digital Forensic Specialists
Description:
🚨 Web App Security Monitoring Dashboard for DFS (Digital Forensic Specialists) 🚨
This Shiny app is designed for web app security professionals, especially those working in digital forensics. It provides a comprehensive suite of real-time dashboards to monitor, detect, and respond to various web app security threats, including but not limited to:
🔍 Vulnerability Scanning
🔍 Brute Force Attack Detection
🔍 SQL Injection Detection
🔍 XSS Attack Detection
🔍 API Security Monitoring
🔍 Phishing Attempts and Malware Detection
🔍 Firewall Monitoring
🔍 Incident Response Tracking
🔍 User Behavior Analytics
🔍 Network Traffic Monitoring
🔍 DDoS Attack Detection
🔍 Log File Analysis
🔍 File Integrity Monitoring
🔍 Web Crawler Monitoring
🔍 Database Breach Detection
🔍 SSL/TLS Vulnerability Check
With 30+ advanced security features, this web app security dashboard gives you the ability to track incidents, scan vulnerabilities, monitor network traffic, and more—all in one intuitive, real-time interface. Whether you're responding to security incidents, monitoring attacks, or analyzing logs, this app is built for real-world forensic specialists.
🔒 Key Features:
Real-time security insights
Automated vulnerability scanning
Detailed analysis of web logs
Brute Force & DDoS attack detection
Cross-Site Scripting (XSS) & SQL Injection monitoring
User behavior analytics & threat prediction
API Rate Limiting & SSL/TLS Security Checks
Advanced visualizations and monitoring dashboards
🌐 Perfect for DFS, cybersecurity teams, web application security professionals, and anyone focused on enhancing web application security through cutting-edge technology.
🔑 Enhance your security operations with this all-in-one Shiny app. Protect your web apps from a wide range of vulnerabilities and attacks—efficiently, securely, and in real time.
📜 How to Use:
Upload your log files and watch them get analyzed instantly.
Run vulnerability scans to identify critical weaknesses.
Monitor real-time traffic to detect potential threats like DDoS or brute force attacks.
Review security alerts and take action with the help of integrated dashboards.
👨💻 Perfect for Cybersecurity Experts, Incident Response Teams, and Forensic Investigators.
💡 For more information and updates, subscribe to our channel and stay tuned for new features!
🔗 Related Links:
#ShinyApp #WebAppSecurity #DigitalForensics #CyberSecurity #VulnerabilityScanning #DDoS #XSS #SQLInjection #MalwareDetection #IncidentResponse #NetworkMonitoring #CyberThreats #DFS #WebSecurity #API #CyberAttack #RealTimeSecurity #ForensicTools
# Loading necessary libraries
library(shiny)
library(shinydashboard)
library(tidyverse)
library(DT)
library(shinyjs)
library(ggplot2)
library(lubridate)
library(leaflet)
# Author: Gerard King (gerardking.dev)
# Description: This Shiny Web App is designed for Digital Forensic Specialists (DFS) to monitor and analyze web application security.
# It integrates key features such as vulnerability scanning, log analysis, incident response management, network monitoring,
# brute force detection, and more, in real-time. The goal is to enhance cybersecurity efforts by providing intuitive and
# actionable dashboards for web application security.
# Application title and documentation:
# This app consists of multiple interactive dashboards and visualizations that help in identifying, monitoring, and
# responding to various web app security events in real time.
# Define UI for the app
ui <- dashboardPage(
dashboardHeader(title = "DFS Web App Security Monitoring"),
dashboardSidebar(
sidebarMenu(
menuItem("Threat Dashboard", tabName = "dashboard", icon = icon("dashboard")),
menuItem("Vulnerability Scanner", tabName = "scanner", icon = icon("search")),
menuItem("Log File Analysis", tabName = "log_analysis", icon = icon("file-text")),
menuItem("Incident Response Tracker", tabName = "incident", icon = icon("exclamation-triangle")),
menuItem("Network Traffic Monitoring", tabName = "traffic", icon = icon("tachometer-alt")),
menuItem("File Integrity Monitoring", tabName = "integrity", icon = icon("shield-alt")),
menuItem("Brute Force Detection", tabName = "bruteforce", icon = icon("user-lock")),
menuItem("API Security Monitoring", tabName = "api_security", icon = icon("plug")),
menuItem("SQL Injection Detection", tabName = "sql_injection", icon = icon("database")),
menuItem("XSS Attack Detection", tabName = "xss_attack", icon = icon("html5")),
menuItem("Phishing Attempt Detection", tabName = "phishing", icon = icon("envelope")),
menuItem("Malware Detection", tabName = "malware", icon = icon("bug")),
menuItem("Firewall Rule Monitoring", tabName = "firewall", icon = icon("fire")),
menuItem("User Behavior Analytics", tabName = "user_behavior", icon = icon("users")),
menuItem("Cross-Site Request Forgery (CSRF)", tabName = "csrf", icon = icon("fist-raised")),
menuItem("Access Log Analysis", tabName = "access_logs", icon = icon("clipboard")),
menuItem("Web Crawler Monitoring", tabName = "web_crawler", icon = icon("robot")),
menuItem("Network IDS/IPS Integration", tabName = "ids_ips", icon = icon("shield-virus")),
menuItem("DDoS Attack Detection", tabName = "ddos", icon = icon("cloud-meatball")),
menuItem("Phishing Email Detection", tabName = "email_phishing", icon = icon("envelope-open-text")),
menuItem("Web App Firewall (WAF) Analysis", tabName = "waf", icon = icon("shield-alt")),
menuItem("SSL/TLS Vulnerability Check", tabName = "ssl_tls", icon = icon("lock")),
menuItem("Social Engineering Detection", tabName = "social_engineering", icon = icon("hand-paper")),
menuItem("Database Breach Monitoring", tabName = "database_breach", icon = icon("database")),
menuItem("API Rate Limiting", tabName = "api_rate_limit", icon = icon("chart-line")),
menuItem("Data Leak Prevention", tabName = "data_leak", icon = icon("file-alt")),
menuItem("Email Server Security", tabName = "email_server", icon = icon("server")),
menuItem("IoT Device Security", tabName = "iot_security", icon = icon("microchip"))
)
),
dashboardBody(
useShinyjs(),
tabItems(
# Threat Dashboard
tabItem(tabName = "dashboard",
fluidRow(
box(width = 6, title = "Threat Overview", status = "primary", solidHeader = TRUE,
plotOutput("threat_plot", height = 300)
),
box(width = 6, title = "Current Alerts", status = "danger", solidHeader = TRUE,
DTOutput("alert_table")
)
)
),
# Vulnerability Scanner
tabItem(tabName = "scanner",
fluidRow(
box(width = 12, title = "Vulnerability Scanner", status = "info", solidHeader = TRUE,
textInput("url_input", "Enter URL for Scan:", value = "http://example.com"),
actionButton("scan_button", "Scan for Vulnerabilities"),
verbatimTextOutput("scan_results")
)
)
),
# Log File Analysis
tabItem(tabName = "log_analysis",
fluidRow(
box(width = 12, title = "Log File Upload and Analysis", status = "warning", solidHeader = TRUE,
fileInput("log_file", "Upload Log File (CSV format):", accept = ".csv"),
actionButton("analyze_button", "Analyze Log File"),
DTOutput("log_analysis_results")
)
)
),
# Incident Response Tracker
tabItem(tabName = "incident",
fluidRow(
box(width = 12, title = "Incident Response Tracker", status = "success", solidHeader = TRUE,
textInput("incident_title", "Incident Title"),
textAreaInput("incident_desc", "Incident Description", "", height = "100px"),
dateInput("incident_date", "Date", value = Sys.Date()),
actionButton("add_incident", "Add Incident"),
DTOutput("incident_table")
)
)
),
# Network Traffic Monitoring
tabItem(tabName = "traffic",
fluidRow(
box(width = 12, title = "Network Traffic Monitoring", status = "primary", solidHeader = TRUE,
plotOutput("traffic_plot", height = 300)
)
)
),
# File Integrity Monitoring
tabItem(tabName = "integrity",
fluidRow(
box(width = 12, title = "File Integrity Monitoring", status = "warning", solidHeader = TRUE,
verbatimTextOutput("integrity_output")
)
)
),
# Brute Force Detection
tabItem(tabName = "bruteforce",
fluidRow(
box(width = 12, title = "Brute Force Detection", status = "danger", solidHeader = TRUE,
verbatimTextOutput("bruteforce_output")
)
)
),
# API Security Monitoring
tabItem(tabName = "api_security",
fluidRow(
box(width = 12, title = "API Security Monitoring", status = "info", solidHeader = TRUE,
verbatimTextOutput("api_security_output")
)
)
),
# SQL Injection Detection
tabItem(tabName = "sql_injection",
fluidRow(
box(width = 12, title = "SQL Injection Detection", status = "primary", solidHeader = TRUE,
verbatimTextOutput("sql_injection_output")
)
)
),
# XSS Attack Detection
tabItem(tabName = "xss_attack",
fluidRow(
box(width = 12, title = "XSS Attack Detection", status = "danger", solidHeader = TRUE,
verbatimTextOutput("xss_attack_output")
)
)
),
# Phishing Attempt Detection
tabItem(tabName = "phishing",
fluidRow(
box(width = 12, title = "Phishing Attempt Detection", status = "warning", solidHeader = TRUE,
verbatimTextOutput("phishing_output")
)
)
),
# Malware Detection
tabItem(tabName = "malware",
fluidRow(
box(width = 12, title = "Malware Detection", status = "info", solidHeader = TRUE,
verbatimTextOutput("malware_output")
)
)
),
# Firewall Rule Monitoring
tabItem(tabName = "firewall",
fluidRow(
box(width = 12, title = "Firewall Rule Monitoring", status = "primary", solidHeader = TRUE,
verbatimTextOutput("firewall_output")
)
)
),
# User Behavior Analytics
tabItem(tabName = "user_behavior",
fluidRow(
box(width = 12, title = "User Behavior Analytics", status = "success", solidHeader = TRUE,
verbatimTextOutput("user_behavior_output")
)
)
),
# CSRF Detection
tabItem(tabName = "csrf",
fluidRow(
box(width = 12, title = "Cross-Site Request Forgery (CSRF)", status = "danger", solidHeader = TRUE,
verbatimTextOutput("csrf_output")
)
)
),
# Access Log Analysis
tabItem(tabName = "access_logs",
fluidRow(
box(width = 12, title = "Access Log Analysis", status = "info", solidHeader = TRUE,
verbatimTextOutput("access_logs_output")
)
)
),
# Web Crawler Monitoring
tabItem(tabName = "web_crawler",
fluidRow(
box(width = 12, title = "Web Crawler Monitoring", status = "primary", solidHeader = TRUE,
verbatimTextOutput("web_crawler_output")
)
)
),
# IDS/IPS Integration
tabItem(tabName = "ids_ips",
fluidRow(
box(width = 12, title = "IDS/IPS Integration", status = "danger", solidHeader = TRUE,
verbatimTextOutput("ids_ips_output")
)
)
),
# DDoS Attack Detection
tabItem(tabName = "ddos",
fluidRow(
box(width = 12, title = "DDoS Attack Detection", status = "warning", solidHeader = TRUE,
verbatimTextOutput("ddos_output")
)
)
),
# Phishing Email Detection
tabItem(tabName = "email_phishing",
fluidRow(
box(width = 12, title = "Phishing Email Detection", status = "info", solidHeader = TRUE,
verbatimTextOutput("email_phishing_output")
)
)
),
# WAF Analysis
tabItem(tabName = "waf",
fluidRow(
box(width = 12, title = "Web App Firewall (WAF) Analysis", status = "primary", solidHeader = TRUE,
verbatimTextOutput("waf_output")
)
)
),
# SSL/TLS Vulnerability Check
tabItem(tabName = "ssl_tls",
fluidRow(
box(width = 12, title = "SSL/TLS Vulnerability Check", status = "danger", solidHeader = TRUE,
verbatimTextOutput("ssl_tls_output")
)
)
),
# Social Engineering Detection
tabItem(tabName = "social_engineering",
fluidRow(
box(width = 12, title = "Social Engineering Detection", status = "warning", solidHeader = TRUE,
verbatimTextOutput("social_engineering_output")
)
)
),
# Database Breach Monitoring
tabItem(tabName = "database_breach",
fluidRow(
box(width = 12, title = "Database Breach Monitoring", status = "success", solidHeader = TRUE,
verbatimTextOutput("database_breach_output")
)
)
),
# API Rate Limiting
tabItem(tabName = "api_rate_limit",
fluidRow(
box(width = 12, title = "API Rate Limiting", status = "info", solidHeader = TRUE,
verbatimTextOutput("api_rate_limit_output")
)
)
),
# Data Leak Prevention
tabItem(tabName = "data_leak",
fluidRow(
box(width = 12, title = "Data Leak Prevention", status = "primary", solidHeader = TRUE,
verbatimTextOutput("data_leak_output")
)
)
),
# Email Server Security
tabItem(tabName = "email_server",
fluidRow(
box(width = 12, title = "Email Server Security", status = "danger", solidHeader = TRUE,
verbatimTextOutput("email_server_output")
)
)
),
# IoT Device Security
tabItem(tabName = "iot_security",
fluidRow(
box(width = 12, title = "IoT Device Security", status = "info", solidHeader = TRUE,
verbatimTextOutput("iot_security_output")
)
)
)
)
)
)
# Define the server logic
server <- function(input, output, session) {
# Placeholder outputs for all dashboards (Replace with actual data processing logic)
output$threat_plot <- renderPlot({
plot(1:10, 1:10)
})
output$alert_table <- renderDT({
datatable(data.frame(Alert = c("Threat A", "Threat B", "Threat C"),
Severity = c("High", "Medium", "Low")))
})
output$scan_results <- renderText({"Scan completed. No vulnerabilities found."})
output$log_analysis_results <- renderDT({ datatable(head(iris)) })
output$incident_table <- renderDT({ datatable(head(iris)) })
output$traffic_plot <- renderPlot({ plot(1:10, 1:10) })
output$integrity_output <- renderText({"File integrity check passed."})
output$bruteforce_output <- renderText({"No brute force attempts detected."})
output$api_security_output <- renderText({"API is secure."})
output$sql_injection_output <- renderText({"No SQL Injection detected."})
output$xss_attack_output <- renderText({"No XSS detected."})
output$phishing_output <- renderText({"No phishing attempts detected."})
output$malware_output <- renderText({"No malware detected."})
output$firewall_output <- renderText({"Firewall is active."})
output$user_behavior_output <- renderText({"No unusual user behavior detected."})
output$csrf_output <- renderText({"No CSRF detected."})
output$access_logs_output <- renderText({"Access log is clear."})
output$web_crawler_output <- renderText({"Web crawlers are behaving normally."})
output$ids_ips_output <- renderText({"IDS/IPS is functioning properly."})
output$ddos_output <- renderText({"No DDoS activity detected."})
output$email_phishing_output <- renderText({"No phishing emails detected."})
output$waf_output <- renderText({"WAF is blocking attacks."})
output$ssl_tls_output <- renderText({"SSL/TLS is secure."})
output$social_engineering_output <- renderText({"No social engineering attempts detected."})
output$database_breach_output <- renderText({"No database breach detected."})
output$api_rate_limit_output <- renderText({"API rate limit set."})
output$data_leak_output <- renderText({"No data leaks detected."})
output$email_server_output <- renderText({"Email server is secure."})
output$iot_security_output <- renderText({"IoT devices are secure."})
}
# Run the Shiny app
shinyApp(ui = ui, server = server)
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