Performing Cloud Native Forensics With Falco

---
name: performing-cloud-native-forensics-with-falco
description: 'Use when uses Falco YAML rules for runtime threat detection in containers
  and Kubernetes, monitoring syscalls for shell spawns, file tampering, network anomalies,
  and privilege escalation. Manages Falco rules via the Falco gRPC API and parses
  Falco alert output. Use when building container runtime security or investigating
  k8s cluster compromises.

  '
domain: cybersecurity
tags:
- performing
- cloud
- native
- forensics
subdomain: cloud-security
version: '1.0'
author: oyi77
license: Apache-2.0
nist_csf:
- PR.IR-01
- ID.AM-08
- GV.SC-06
- DE.CM-01
category: cybersecurity
---

# Performing Cloud Native Forensics With Falco

## Overview

Cybersecurity skill for performing cloud native forensics with falco. Follows industry best practices and security standards.

## When to Use

**Trigger phrases:**
- "performing cloud native forensics with falco"
- "When conducting security assessments that involve performing cloud native forens"
- "When following incident response procedures for related security events"
- "When performing scheduled security testing or auditing activities"


- When conducting security assessments that involve performing cloud native forensics with falco
- When following incident response procedures for related security events
- When performing scheduled security testing or auditing activities
- When validating security controls through hands-on testing


## 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

- Familiarity with cloud security concepts and tools
- Access to a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities

## 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. **Plan Operations** — Define objectives, scope, and success criteria for cloud native forensics operations.
2. **Prepare Environment** — Set up tools, access, and data sources required for cloud native forensics.
3. **Execute Core Workflow** — Use falco to perform cloud native forensics operations following established procedures.
4. **Validate Results** — Verify that results meet quality standards and objectives.
5. **Report Findings** — Document results, observations, and recommendations.
6. **Follow Up** — Track remediation actions and verify fixes where applicable.

## Tools

- **falco** — Primary tool for this skill
- **Analysis Platform** — Data processing and visualization
- **Collaboration Tools** — Team coordination and knowledge sharing


## 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 cloud native forensics 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. |