sqlmap-detect

Run sqlmap against a target URL and report SQL injection vulnerabilities.

Updated May 7, 2026
One-click install
npx skills add https://github.com/gongzeq/VAPT3 --skill sqlmap-detect
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sqlmap-detect
Source: https://github.com/gongzeq/VAPT3/tree/main/secbot/skills/sqlmap-detect
Command: npx skills add https://github.com/gongzeq/VAPT3 --skill sqlmap-detect

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

sqlmap-detect helps security engineers quickly identify SQL injection vulnerabilities in web applications by automating detection checks with sqlmap.

Core Features & Use Cases

  • Automated SQLi detection against target URLs using sqlmap in non-destructive detection mode.
  • Parses sqlmap output to extract vulnerable parameters, DBMS, and evidence payloads.
  • Integrates into security testing workflows to produce structured results and actionable remediation guidance.

Quick Start

Identify SQL injection points by running sqlmap-detect against a target URL to obtain a structured vulnerability report.

Frequently Asked Questions about sqlmap-detect

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

FAQPage Schema
How do I automate SQL injection detection for web application URLs?

Automated SQL injection detection runs sqlmap against a target URL to identify vulnerable GET and POST parameters. It returns a structured report including the backend DBMS and test payloads.

What do I need to run sqlmap for security testing on my web application?

Running sqlmap for security testing requires the sqlmap binary on your PATH or via a configured override, plus a target URL. Optional parameters can tailor the scan to produce structured vulnerability reports.

Can I scan both GET and POST inputs for SQL injection vulnerabilities?

Yes, SQL injection vulnerability detection operates across common web applications and handles both GET and POST inputs. It extracts vulnerable parameters from the scan to generate actionable remediation guidance.

What structured results do I get from an automated SQLi detection scan?

SQLi detection scans return structured results that identify vulnerable parameters, the backend DBMS, and test payloads. This structured data integrates into security testing workflows for actionable remediation.

What's the best way to identify backend DBMS information during vulnerability testing?

Running automated sqlmap detection against a target URL identifies the backend DBMS alongside vulnerable parameters. It operates in non-destructive detection mode to safely extract this information during security testing.