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skills/implementing-runtime-application-self-protection/SKILL.md
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---
name: implementing-runtime-application-self-protection
description: Deploy Runtime Application Self-Protection (RASP) agents to detect and block attacks from within application runtime, covering OpenRASP integration, attack pattern detection, and security policy configuration for Java and Python web applications.
domain: cybersecurity
subdomain: application-security
tags: [rasp, application-security, openrasp, runtime-protection, sqli, xss, rce, devsecops]
version: "1.0"
author: mahipal
license: Apache-2.0
---
# Implementing Runtime Application Self-Protection
## Overview
Runtime Application Self-Protection (RASP) instruments application code at runtime to detect and block attacks by examining actual execution context rather than relying solely on network traffic patterns. Unlike WAFs that inspect HTTP requests externally, RASP agents intercept dangerous operations (SQL queries, file operations, command execution, deserialization) at the function level inside the application, achieving near-zero false positives. This skill covers deploying OpenRASP for Java applications, configuring detection policies for OWASP Top 10 attacks, tuning alerting thresholds, and integrating RASP telemetry with SIEM platforms.
## Prerequisites
- Java 8+ application server (Tomcat, Spring Boot, or JBoss) or Python Flask/Django application
- OpenRASP agent package (rasp-java or equivalent)
- OpenRASP management console for centralized policy management
- SIEM integration endpoint (Splunk HEC, Elasticsearch, or syslog)
- Application staging environment for RASP testing before production
## Steps
### Step 1: Deploy RASP Agent
Install the RASP agent into the application server runtime using JVM agent attachment for Java or middleware hooks for Python.
### Step 2: Configure Detection Policies
Define detection rules for SQL injection, command injection, SSRF, path traversal, XXE, and deserialization attacks with block or monitor actions.
### Step 3: Tune and Baseline
Run the agent in monitor mode during normal operations to establish baseline behavior and tune policies to reduce false positives before switching to block mode.
### Step 4: Integrate with SIEM
Forward RASP alerts to the SIEM for correlation with WAF, IDS, and authentication events to build comprehensive attack timelines.
## Expected Output
JSON report containing RASP policy audit results, detected attack attempts with stack traces, blocked requests summary, and coverage assessment against OWASP Top 10.
skills/implementing-runtime-application-self-protection/references/api-reference.md
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# API Reference: Implementing Runtime Application Self-Protection
## OpenRASP Deployment
```bash
# Java agent attachment (Tomcat)
export CATALINA_OPTS="-javaagent:/opt/rasp/rasp.jar"
# Spring Boot
java -javaagent:/opt/rasp/rasp.jar -jar app.jar
# Verify agent loaded
curl -s http://localhost:8080/rasp/status
```
## OpenRASP Configuration (rasp.yaml)
```yaml
# Detection plugin settings
plugin:
timeout: 100 # Plugin execution timeout (ms)
maxstack: 100 # Max stack frames to capture
# Block vs monitor mode
block:
status_code: 302 # HTTP status on block
redirect_url: /blocked.html
# Log settings
log:
maxstack: 50
syslog:
enable: true
url: "udp://siem.example.com:514"
tag: openrasp
```
## Detection Hooks
| Hook Point | Attack Type | OWASP |
|------------|-------------|-------|
| sql_query | SQL Injection | A03:2021 |
| command_exec | OS Command Injection | A03:2021 |
| file_open / file_read | Path Traversal | A01:2021 |
| http_request | SSRF | A10:2021 |
| xml_parse | XXE | A05:2021 |
| deserialize | Insecure Deserialization | A08:2021 |
| response_write | XSS (reflected) | A03:2021 |
| ldap_query | LDAP Injection | A03:2021 |
| code_eval | Remote Code Execution | A03:2021 |
## Attack Log Format (JSON)
```json
{
"attack_type": "sqli",
"action": "block",
"client_ip": "192.168.1.50",
"request_url": "/api/users?id=1 OR 1=1",
"attack_params": {"id": "1 OR 1=1"},
"stack_trace": "com.app.UserDAO.findById(UserDAO.java:42)",
"plugin_name": "sql_injection",
"timestamp": "2025-06-15T10:30:00Z"
}
```
## RASP vs WAF Comparison
| Feature | WAF | RASP |
|---------|-----|------|
| Inspection point | Network perimeter | Inside application |
| Context | HTTP request only | Request + execution context |
| False positive rate | Higher | Near-zero |
| Encrypted traffic | Requires TLS termination | Sees plaintext |
| Deployment | Network device/proxy | Application library |
## Python RASP (Flask Middleware Example)
```python
from flask import request, abort
import re
SQL_INJECTION_PATTERN = re.compile(
r"(\b(union|select|insert|update|delete|drop|alter)\b.*\b(from|into|table|set)\b)",
re.IGNORECASE
)
@app.before_request
def rasp_check():
for value in request.values.values():
if SQL_INJECTION_PATTERN.search(str(value)):
abort(403, description="RASP: SQL injection blocked")
```
### References
- OpenRASP: https://github.com/baidu/openrasp
- OWASP RASP: https://owasp.org/www-community/Runtime_Application_Self-Protection
- NIST AppSec: https://csrc.nist.gov/publications/detail/sp/800-95/final
skills/implementing-runtime-application-self-protection/scripts/agent.py
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#!/usr/bin/env python3
"""RASP Agent - audits runtime application protection config, attack logs, and coverage."""
import json
import argparse
import logging
import os
import re
from collections import defaultdict
from datetime import datetime
logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
logger = logging.getLogger(__name__)
OWASP_TOP10_CHECKS = {
"sqli": {"name": "SQL Injection", "owasp": "A03:2021", "hook": "sql_query"},
"cmdi": {"name": "Command Injection", "owasp": "A03:2021", "hook": "command_exec"},
"ssrf": {"name": "Server-Side Request Forgery", "owasp": "A10:2021", "hook": "http_request"},
"path_traversal": {"name": "Path Traversal", "owasp": "A01:2021", "hook": "file_open"},
"xxe": {"name": "XML External Entity", "owasp": "A05:2021", "hook": "xml_parse"},
"deserialization": {"name": "Insecure Deserialization", "owasp": "A08:2021", "hook": "deserialize"},
"xss": {"name": "Cross-Site Scripting", "owasp": "A03:2021", "hook": "response_write"},
"ldap_injection": {"name": "LDAP Injection", "owasp": "A03:2021", "hook": "ldap_query"},
"rce": {"name": "Remote Code Execution", "owasp": "A03:2021", "hook": "code_eval"},
}
def parse_rasp_config(config_file):
"""Parse OpenRASP or RASP agent configuration."""
with open(config_file) as f:
return json.load(f)
def audit_rasp_policy(config):
"""Audit RASP detection policies against OWASP Top 10 coverage."""
findings = []
enabled_checks = config.get("detection_plugins", {})
for check_id, check_info in OWASP_TOP10_CHECKS.items():
plugin = enabled_checks.get(check_id, {})
if not plugin.get("enabled", False):
findings.append({
"check": check_id, "name": check_info["name"],
"owasp": check_info["owasp"], "status": "disabled",
"severity": "high",
"recommendation": f"Enable {check_info['name']} detection plugin",
})
elif plugin.get("action", "log") != "block":
findings.append({
"check": check_id, "name": check_info["name"],
"owasp": check_info["owasp"], "status": "monitor_only",
"severity": "medium",
"recommendation": f"Switch {check_info['name']} from monitor to block mode",
})
block_mode = config.get("global_action", "log")
if block_mode == "log":
findings.append({
"check": "global_mode", "status": "monitor_only",
"severity": "high",
"recommendation": "Switch RASP from monitor to block mode after baseline period",
})
return findings
def analyze_attack_logs(log_file, limit=10000):
"""Analyze RASP attack detection logs."""
attacks = []
by_type = defaultdict(int)
by_source = defaultdict(int)
blocked = 0
try:
with open(log_file) as f:
for i, line in enumerate(f):
if i >= limit:
break
try:
event = json.loads(line)
attack_type = event.get("attack_type", "unknown")
by_type[attack_type] += 1
by_source[event.get("client_ip", "")] += 1
if event.get("action") == "block":
blocked += 1
attacks.append(event)
except json.JSONDecodeError:
continue
except FileNotFoundError:
logger.warning("RASP log file not found: %s", log_file)
return {
"total_attacks": len(attacks),
"blocked": blocked,
"block_rate": round(blocked / max(len(attacks), 1) * 100, 1),
"by_attack_type": dict(sorted(by_type.items(), key=lambda x: x[1], reverse=True)),
"top_sources": dict(sorted(by_source.items(), key=lambda x: x[1], reverse=True)[:10]),
}
def check_agent_health(config):
"""Verify RASP agent deployment health."""
findings = []
if not config.get("agent_version"):
findings.append({"issue": "Agent version unknown", "severity": "medium"})
if config.get("cpu_limit_percent", 100) > 10:
findings.append({
"issue": f"CPU limit set to {config.get('cpu_limit_percent')}% (recommend < 5%)",
"severity": "low",
})
if not config.get("siem_integration", {}).get("enabled"):
findings.append({
"issue": "SIEM log forwarding not configured",
"severity": "high",
"recommendation": "Enable syslog or webhook forwarding to SIEM",
})
return findings
def calculate_coverage(config):
"""Calculate OWASP Top 10 coverage percentage."""
enabled_checks = config.get("detection_plugins", {})
covered = sum(1 for check_id in OWASP_TOP10_CHECKS if enabled_checks.get(check_id, {}).get("enabled"))
return {
"total_checks": len(OWASP_TOP10_CHECKS),
"enabled": covered,
"coverage_percent": round(covered / len(OWASP_TOP10_CHECKS) * 100, 1),
}
def generate_report(policy_findings, attack_analysis, health_findings, coverage, config):
all_findings = policy_findings + health_findings
return {
"timestamp": datetime.utcnow().isoformat(),
"rasp_agent": config.get("agent_type", "openrasp"),
"agent_version": config.get("agent_version", "unknown"),
"global_mode": config.get("global_action", "log"),
"owasp_coverage": coverage,
"policy_findings": policy_findings,
"attack_analysis": attack_analysis,
"health_findings": health_findings,
"total_findings": len(all_findings),
"critical_findings": sum(1 for f in all_findings if f.get("severity") == "critical"),
}
def main():
parser = argparse.ArgumentParser(description="RASP Security Audit Agent")
parser.add_argument("--config", required=True, help="RASP agent config JSON file")
parser.add_argument("--attack-log", help="RASP attack log file (JSON lines)")
parser.add_argument("--output", default="rasp_audit_report.json")
args = parser.parse_args()
config = parse_rasp_config(args.config)
policy_findings = audit_rasp_policy(config)
attack_analysis = analyze_attack_logs(args.attack_log) if args.attack_log else {}
health_findings = check_agent_health(config)
coverage = calculate_coverage(config)
report = generate_report(policy_findings, attack_analysis, health_findings, coverage, config)
with open(args.output, "w") as f:
json.dump(report, f, indent=2, default=str)
logger.info("RASP audit: %.1f%% OWASP coverage, %d findings, mode: %s",
coverage["coverage_percent"], report["total_findings"], config.get("global_action", "log"))
print(json.dumps(report, indent=2, default=str))
if __name__ == "__main__":
main()