RCE Detection

Detect and analyze Remote Code Execution vulnerabilities across binary, web, and mobile applications.

Updated Aug 6, 2026
One-click install
npx skills add https://github.com/alicangnll/Spectra --skill rce-detection
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: RCE Detection
Source: https://github.com/alicangnll/Spectra/tree/main/spectra/skills/builtins/rce-detection
Command: npx skills add https://github.com/alicangnll/Spectra --skill rce-detection

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, metasploit-framework, ysoserial, frosmojs, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Detects and analyzes Remote Code Execution vulnerabilities in binary code, web applications, and mobile applications, helping prevent security breaches and unauthorized access.

Core Features & Use Cases

  • Command Injection Detection: Identifies command injection vectors across multiple platforms.
  • Deserialization Vulnerability Detection: Identifies and assesses deserialization vulnerabilities in various programming languages.
  • Template Injection Detection (SSTI): Detects Server-Side Template Injection vulnerabilities.
  • Eval/Script Injection Detection: Identifies vulnerabilities where user input can lead to arbitrary code execution.
  • File Upload RCE Detection: Detects Remote Code Execution vulnerabilities in file upload processes.
  • RCE Exploitability Assessment: Provides a detailed analysis of the exploitability of detected RCE vulnerabilities.
  • RCE Payload Generation: Generates payloads for different types of RCE vulnerabilities.
  • RCE Confirmation: Confirms the presence of RCE vulnerabilities and validates payloads.
  • Final Report: Summarizes the detected RCE vulnerabilities with their severity and potential impact.

Quick Start

Use the RCE Detection skill to identify RCE vulnerabilities in your application. Execute the 'analyze' command followed by the target application.

Frequently Asked Questions about RCE Detection

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect Remote Code Execution vulnerabilities in web applications?

To detect RCE vulnerabilities in web applications, you can automate vulnerability assessment to identify vectors like command injection, template injection (SSTI), and file upload exploits. This process analyzes exploitability and generates test payloads to confirm unauthorized code execution.

What is deserialization vulnerability detection and how does it work?

Deserialization vulnerability detection identifies flaws where untrusted data is used to instantiate objects, potentially allowing arbitrary code execution. It assesses these vulnerabilities across various programming languages to determine their exploitability and prevent security breaches.

How do I generate and test payloads for Server-Side Template Injection (SSTI)?

You can generate and test payloads for Server-Side Template Injection (SSTI) by automating vulnerability assessment. The system identifies template injection vectors, produces tailored payloads for testing, and confirms the presence of the vulnerability to validate the exploit.

Does RCE detection work for binary code and mobile applications?

Yes, RCE detection works for binary code and mobile applications. It automates vulnerability analysis across these platforms to identify code execution vectors, assess their exploitability, and summarize findings with severity and potential impact in a final report.

Do I need Python and binary analysis tools to assess command injection vectors?

Yes, you need Python, multiple programming language-specific libraries, and binary analysis tools to assess command injection vectors. These tools are required to automate the detection, analyze exploitability, and generate payloads across different platforms.

What is the best way to assess the exploitability of detected RCE vulnerabilities?

The best way to assess RCE exploitability is to automate analysis after detecting vectors like command injection or eval injection. This provides a detailed assessment of the vulnerability, validates generated payloads, and outputs a report summarizing severity and impact.