Conducting Api Security Testing

---
name: conducting-api-security-testing
description: Use when conducts security testing of REST, GraphQL, and gRPC APIs to
  identify vulnerabilities in authentication, authorization, rate limiting, input
  validation, and business logic. The tester uses the OWASP API Security Top 10 as
  the testing framework, combining Burp Suite interception with Postman collections
  and custom scripts to test endpoint security at every privilege level. Use when
  working with conducting api security testing.
domain: cybersecurity
tags:
- API-security
- OWASP-API-Top10
- REST
- GraphQL
- authorization-testing
subdomain: penetration-testing
version: 1.0.0
author: oyi77
license: Apache-2.0
nist_csf:
- ID.RA-01
- ID.RA-06
- GV.OV-02
- DE.AE-07
category: cybersecurity
---

# Conducting Api Security Testing

## Overview

Cybersecurity skill for conducting api security testing. Follows industry best practices and security standards.

## When to Use
**Trigger phrases:**
- "conducting api security testing"
- "Conducts security testing of REST, GraphQL, and gRPC APIs to identify vulnerabil"


- Testing API endpoints for authorization flaws, injection vulnerabilities, and business logic bypasses
- Assessing the security of microservices architecture where APIs are the primary communication method
- Validating that API gateway protections (rate limiting, authentication, input validation) are properly enforced
- Testing third-party API integrations for data exposure and insecure configurations
- Evaluating GraphQL APIs for introspection disclosure, query complexity attacks, and authorization bypasses

**Do not use** against APIs without written authorization, for load testing or denial-of-service testing unless explicitly scoped, or for testing production APIs that process real financial transactions without safeguards.


## When NOT to Use

- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope


## Prerequisites

- API documentation (OpenAPI/Swagger, GraphQL schema, Postman collection) or application access to reverse-engineer the API
- Burp Suite Professional configured to intercept API traffic with JSON/XML content type handling
- Postman or Insomnia for organizing and replaying API requests across different authentication contexts
- Valid API tokens or credentials at multiple privilege levels (unauthenticated, standard user, admin)
- Target API base URL and version information

## Workflow

```python
# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
```

1. **Scope the Analysis** — Define what api security testing artifacts or data sources to examine and the investigation timeline.
2. **Preserve Evidence** — Create forensic copies of relevant data. Maintain chain of custody documentation.
3. **Extract Key Indicators** — Parse and extract relevant api security testing data points from collected artifacts.
4. **Correlate Findings** — Cross-reference extracted data with other sources (threat intel, logs, timelines).
5. **Build Timeline** — Construct a chronological sequence of events related to api security testing.
6. **Document Analysis** — Write findings report with evidence, conclusions, and recommendations.

## Tools

- **Forensic Toolkit** — Evidence collection and analysis
- **Timeline Tools** — Chronological event reconstruction
- **Log Analysis Platform** — Centralized log parsing and search


## Process

1. **Reconnaissance** — Gather target information, identify attack surface, enumerate services
1. **Analysis/Exploitation** — Execute the technique, analyze results, document findings
1. **Reporting** — Document IOCs, write findings, provide remediation recommendations

## Verification

- [ ] All api security testing procedures executed completely and documented
- [ ] Findings validated against multiple data sources
- [ ] False positives identified and filtered
- [ ] Results documented with evidence and timestamps
- [ ] Recommendations provided with risk-based prioritization

## Anti-Rationalization Table

| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |