sc4-validate

Trace data flows across files to validate vulnerability findings and generate remediation reports.

Updated Jun 23, 2024
One-click install
npx skills add https://github.com/n4igme/randscript --skill sc4-validate
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sc4-validate
Source: https://github.com/n4igme/randscript/tree/main/llm/skills/scode/sc4-validate
Command: npx skills add https://github.com/n4igme/randscript --skill sc4-validate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps security researchers revalidate vulnerability findings by tracing source code paths and confirming exploitability, reducing false positives and ensuring accurate remediation.

Core Features & Use Cases

  • Re-read surrounding source code to confirm vulnerability viability.
  • Trace full data flow across files and layers to map inputs to sinks.
  • Generate a validated vulnerability report with sources, paths, and remediation steps.

Quick Start

Review the vulnerabilities.md file and initiate the sc4-validate workflow to re-check findings against actual code paths.

Frequently Asked Questions about sc4-validate

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

FAQPage Schema
How do I revalidate vulnerability findings by tracing source code paths?

Tracing data flow across files maps inputs to sinks, confirming whether sanitization exists or a true flaw remains. This revalidation process reduces false positives by inspecting actual code paths rather than relying solely on automated reports.

Why do automated security reviews produce false positives in code analysis?

Automated security reviews produce false positives when they lack full data-flow context. Revalidating findings by manually tracing input-to-sink paths across files exposes whether sanitization logic effectively neutralizes the identified vulnerability.

How do I trace data flow across files to confirm exploitability for a bug bounty report?

Trace data flow by reading surrounding source code to map the input source to the execution sink across multiple files. This confirms exploitability and generates a validated vulnerability report with remediation steps for bug bounty submissions.

Can I use code analysis to generate a structured vulnerability report with remediation recommendations?

Yes, by inspecting source code and tracing data flow from input to sink, you can generate a structured validated report. This report outlines the vulnerability source, the exact code path, and specific remediation recommendations.

What is the best way to reduce false positives in vulnerability validation?

The best way to reduce false positives in vulnerability validation is re-reading the surrounding source code to confirm viability. Tracing the full data flow across layers ensures findings reflect true flaws rather than scanning artifacts.