🛡 Incident Response & Adversary Emulation – SOC Engineering Portfolio

SOC Engineering • Detection Engineering • DFIR • Red/Blue Simulation • Security Automation

A complete 20-lab hands-on security engineering series simulating real-world Security Operations Center (SOC) environments — from digital forensics and network detection to adversary emulation and full incident lifecycle execution.

---

---

🎯 Executive Summary

This repository demonstrates practical capability across:

• ✅ Digital Forensics & Incident Response (DFIR)
• ✅ Detection Engineering (Zeek, Suricata, Wazuh)
• ✅ SOC Operations & Log Correlation
• ✅ Adversary Emulation (Safe Simulation)
• ✅ Credential Attack Analysis
• ✅ C2 Behavioral Detection Concepts
• ✅ SOAR Automation (TheHive + Cortex)
• ✅ End-to-End Incident Lifecycle Execution

This is not theoretical content.

Every lab includes:

• Executed commands
• Detection logic
• Automation scripts
• Structured reports
• Screenshots & validation output
• Troubleshooting documentation

The portfolio simulates real SOC Tier 1 → Tier 2 → Detection Engineering workflows.

---

📌 About This Repository

A structured 20-lab SOC engineering program simulating:

• Real Security Operations Center workflows
• Blue Team detection engineering
• Incident response lifecycle execution
• Digital forensics investigations
• Offensive-to-defensive adversary simulation
• Security automation & SOAR integration

All labs are executed in controlled Ubuntu 24.04 lab environments using open-source tools.

Each lab is execution-focused and includes:

• Command execution
• Detection logic implementation
• Structured forensic reporting
• Automation scripts
• Screenshots & validation output
• Troubleshooting documentation

---

📚 Labs Index (1–20)

Click any lab title to navigate directly to its folder.

---

🗂 Lab Categories Overview

🔐 Section 1: Digital Forensics & Incident Response (Labs 1–6)

Lab	Title	Focus Area
01	Incident Response Lifecycle	NIST IR Framework Implementation
02	Live System Analysis (Linux)	auditd & Log Correlation
03	Memory Forensics with Volatility	Memory Dump Analysis & Rootkit Detection
04	Network Forensics with Zeek	Traffic Analysis & Detection Scripts
05	Incident Detection with Suricata	IDS Rule Engineering
06	Analyzing DNS Traffic	DGA & Tunneling Detection

🧠 Skills Demonstrated

• Evidence preservation
• Rootkit investigation & hidden process detection
• Network traffic reconstruction
• IDS rule engineering
• DNS tunneling detection
• Timeline reconstruction
• Automated forensic reporting

---

🔍 Section 2: Offensive Security & Web Exploitation (Labs 7–14)

Lab	Title	Focus Area
07	OSINT with theHarvester	Passive Intelligence Gathering
08	Infrastructure Mapping with Maltego	Attack Surface Visualization
09	Network Scanning & Enumeration (Nmap)	Service & Vulnerability Detection
10	SMB Enumeration (Enum4Linux)	Internal Service Enumeration
11	Password Cracking (Hashcat)	Hash Analysis & Attack Optimization
12	Brute-Force & Credential Stuffing	Authentication Attack Simulation
13	SQL Injection with sqlmap	Database Exploitation & Remediation
14	XSS Exploitation with XSStrike	Client-Side Exploitation & Detection

🧠 Skills Demonstrated

• OSINT methodology & automation
• Nmap scanning frameworks
• Credential attack engineering
• SQL injection exploitation & secure coding remediation
• XSS payload analysis & automation scripting
• Defensive validation & hardening
• Structured vulnerability reporting

All performed in controlled lab environments.

---

🛡 Section 3: Advanced Security Operations & Adversary Emulation (Labs 15–20)

Lab	Title	Focus Area
15	Web Shell Persistence & Detection	Web Server Compromise Detection
16	Privilege Escalation Simulation (Mimikatz)	Windows Credential Analysis
17	Lateral Movement & Pivoting Simulation	Post-Compromise Network Movement
18	C2 Evasion Simulation	Beacon Behavior & Traffic Analysis
19	Incident Recovery Playbooks with SOAR	Automated Case Orchestration
20	Full SOC Incident Response Lab	End-to-End Detection & Response

🧠 Skills Demonstrated

• Web shell detection Engineering & automation
• Credential theft analysis concepts
• C2 traffic behavioral inspection
• Lateral movement detection patterns
• SSH pivoting simulation
• SOAR playbook development
• Multi-vector attack simulation
• Multi-tool log correlation (Wazuh, Zeek, Suricata)
• Executive-level incident reporting
• Evidence preservation
• Full SOC incident lifecycle execution

---

🏁 Final Lab – End-to-End SOC Lifecycle Execution

Integrated Stack Used:

• Wazuh (SIEM)
• Suricata (IDS)
• Zeek (Network Monitoring)
• Python Detection Engine
• iptables Containment
• Structured Executive Reporting

This lab simulates a complete enterprise-grade SOC operational workflow from detection to post-incident validation.

---

🗂 Repository Structure

incident-response-and-adversary-emulation/
├── 🔹 digital-forensics-&-incident-response (Labs 1–6)
├── 🔹 offensive-security-&-web-exploitation (Labs 7–14)
├── 🔹 advanced-security-operations-&-adversary-emulation (Labs 15–20)
└── README.md

🧱 Standard Lab Folder Structure

Each lab follows a professional, consistent structure:

labXX-name/
├── README.md
├── commands.sh
├── output.txt
├── scripts/
├── reports/
├── interview_qna.md
├── troubleshooting.md

This ensures:

• ✅ Reproducibility
• ✅ Structured documentation
• ✅ Interview readiness
• ✅ Real SOC workflow alignment

---

🛠 Tools & Technologies Used Across Repository

Click to expand

🖥 Operating Systems

• Ubuntu 24.04
• Windows (Simulated Defensive Testing)

🔎 DFIR & Monitoring

• auditd
• AIDE
• chkrootkit
• rkhunter
• Volatility
• LiME
• tcpdump

🌐 Network Security

• Zeek
• Suricata
• Nmap
• Enum4Linux
• dig
• Scapy

🔐 Offensive Security

• theHarvester
• Maltego
• Hashcat
• Hydra
• sqlmap
• XSStrike
• DVWA

🧠 SOC Stack

• Wazuh (SIEM)
• Suricata (IDS)
• Zeek (NSM)
• TheHive
• Cortex
• Elasticsearch
• Docker & Docker Compose

⚙ Automation & Scripting

• Bash
• Python 3.x
• PowerShell Core
• JSON parsing
• jq

---

🎓 Learning Outcomes Across 20 Labs

After completing this 20-lab series, this portfolio demonstrates the ability to:

• Execute a full NIST-aligned Incident Response lifecycle (Detection → Containment → Recovery → Reporting)
• Perform live Linux forensic investigations and memory analysis
• Engineer IDS detection logic using Suricata and Zeek
• Correlate multi-source logs (auditd, Zeek, Wazuh, system logs)
• Detect DNS tunneling, beaconing, and anomalous traffic behavior
• Analyze credential attack patterns and authentication abuse
• Identify lateral movement and post-compromise techniques
• Inspect simulated C2-style communication patterns
• Deploy and operate an open-source SOC stack (Wazuh + Suricata + Zeek)
• Design and automate SOAR playbooks using TheHive & Cortex
• Produce structured technical and executive-level incident reports

This is execution-driven security engineering — not theoretical study.

---

📊 Professional Relevance

This portfolio reflects:

• SOC Tier 1 → Tier 2 operational capability
• Detection engineering mindset with rule tuning & log analysis
• Threat hunting methodology using behavioral indicators
• Blue team automation development (Bash / Python / SIEM integrations)
• Structured forensic documentation discipline
• Enterprise-grade incident response simulation
• Secure configuration validation & defensive hardening awareness

It aligns with roles in:

• SOC Analyst (Tier 1 / Tier 2)
• Detection Engineer
• DFIR Analyst
• Security Automation Engineer
• Blue Team Engineer

---

🌍 Real-World Alignment

These labs simulate realistic enterprise security workflows including:

• Alert triage & prioritization
• Log correlation across host and network layers
• Detection engineering & rule validation
• IDS tuning & false-positive reduction
• Threat intelligence integration concepts
• Evidence preservation & chain-of-custody awareness
• Executive and stakeholder reporting
• Post-incident review & lessons-learned processes

The focus is operational security engineering in production-like environments.

---

🧪 Real-World Simulation Model

All labs were executed in controlled lab environments designed to simulate:

• SOC monitoring pipelines
• Host & network telemetry analysis
• Multi-vector attack scenarios (web, credential, network)
• Post-exploitation detection patterns
• Automated containment logic (iptables, fail2ban, scripts)
• SIEM alert enrichment & case management
• End-to-end incident lifecycle execution

This repository represents practical implementation — not academic exercises.

---

📊 Security Skills Heatmap

This heatmap reflects structured, hands-on implementation across all 20 labs in:

Incident Response • Digital Forensics • Detection Engineering • Adversary Simulation • SOC Automation

Exposure bars represent execution depth — from foundational implementation to full end-to-end operational deployment within a simulated SOC environment.

Skill Area	Exposure Level	Practical Depth	Tools Used
🛡 Incident Response Lifecycle	██████████ 100%	End-to-End Execution	NIST Framework, Bash Automation
🔍 Log Correlation & Analysis	█████████░ 90%	Multi-Source Correlation	auditd, syslog, Zeek, Wazuh
🧠 Digital Forensics (Linux)	█████████░ 90%	Live & Memory Forensics	Volatility, LiME, AIDE
🌐 Network Forensics	█████████░ 90%	Traffic Inspection & Detection	Zeek, tcpdump
🚨 IDS / Detection Engineering	█████████░ 90%	Custom Rule Engineering	Suricata
🧬 DNS Threat Detection	████████░░ 80%	DGA & Tunneling Analysis	Scapy, Python
🔎 Threat Hunting	█████████░ 90%	IOC & Behavioral Detection	Zeek, Bash, Python
🔐 Credential Attack Analysis	████████░░ 80%	Hash & Brute Force Testing	Hashcat, Hydra
🌍 Web Exploitation Analysis	████████░░ 80%	SQLi & XSS Testing	sqlmap, XSStrike
🛰 C2 Behavior Analysis	████████░░ 80%	Beaconing Pattern Detection	tcpdump, Python
🔁 Lateral Movement Concepts	████████░░ 80%	SSH Pivot Simulation	SSH, Bash
🤖 Security Automation	█████████░ 90%	Detection & Reporting Automation	Python, Bash
⚙ SOAR Playbooks	████████░░ 80%	Case Automation	TheHive, Cortex
📊 SIEM Operations	█████████░ 90%	Alert Correlation & Monitoring	Wazuh
📑 Incident Reporting	██████████ 100%	Executive & Technical Reports	Structured Documentation

📌 Proficiency Scale

• ██████████ = Implemented End-to-End with Automation
• █████████░ = Advanced Practical Implementation
• ████████░░ = Strong Working Implementation
• ██████░░░░ = Foundational Exposure

This heatmap represents operational security engineering capability — not isolated scripting tasks — covering:

Detection → Correlation → Investigation → Containment → Automation → Reporting

It demonstrates applied SOC execution across host, network, and automation layers within controlled enterprise-style lab environments.

---

🚀 How To Use

git clone https://github.com/abdul4rehman215/Incident-Response-and-Adversary-Emulation.git
cd Incident-Response-and-Adversary-Emulation
cd labXX-name

Each lab contains its own README.md with setup, execution steps, scripts, reports, and troubleshooting guidance.

---

🔒 Execution Environment

All labs were executed in isolated Linux environments designed to simulate realistic SOC and detection engineering workflows.

Environment Characteristics

• Ubuntu 22.04 / 24.04 LTS (cloud-based lab setup)
• Segmented virtual machines for attacker / defender simulation (where required)
• Controlled and intentionally vulnerable test systems
• Synthetic datasets and safe simulation artifacts
• Host and network telemetry collection (auditd, Zeek, Suricata, Wazuh)
• Reproducible automation pipelines (Bash / Python / Docker-based services)

Outputs were validated through structured reports, logs, and evidence artifacts to reflect production-style security engineering quality.

---

🏢 Intended Use

This repository is designed to support:

• SOC operations training
• Detection engineering development
• Digital forensics & incident response practice
• Threat hunting methodology
• Security automation & playbook engineering
• SIEM & IDS tuning and validation

The adversarial techniques simulated within this portfolio are implemented strictly to strengthen defensive detection and response capabilities.

---

⚖ Ethical & Legal Notice

All research, simulations, and security testing activities were conducted:

• In controlled lab environments
• Against intentionally vulnerable or authorized systems
• Using synthetic or self-configured datasets
• For educational, defensive, and professional development purposes

No production systems were targeted. No unauthorized systems were tested.

Any misuse of the techniques demonstrated in this repository outside legally approved environments may be unlawful and unethical.

This repository is provided solely for responsible security engineering, detection research, and defensive training.

---

⭐ Final Note

This repository reflects real hands-on security engineering work — not theoretical notes.

It demonstrates the ability to:

Detect • Investigate • Contain • Eradicate • Recover • Automate

If this repository adds value, consider starring it ⭐

Happy Building & Defending 🛡🚀

---

👨‍💻 Author

Abdul Rehman
Offensive Security • SOC • Detection Engineering • DFIR • Security Automation

📧 Reach Out

---