Add Coconut Malware Analysis Lab Documentation

- Introduced a new lab focused on the reverse engineering and analysis of the Coconut malware sample, providing hands-on experience with advanced malware analysis techniques.
- Included sections on packer identification, network analysis, backdoor detection, and YARA rule creation, along with interactive challenges facilitated by Hackerbot.
- Enhanced documentation with detailed descriptions, tags, and structured content to improve accessibility and user engagement.

_labs/software_and_malware_analysis/11_coconut.md

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+---
+title: "Malware Behaviour - Reverse Engineering and Analysis of the Coconut Malware Sample"
+author: ["Z. Cliffe Schreuders"]
+license: "CC BY-SA 4.0"
+description: "Advanced malware analysis lab using Hackerbot to analyze the Coconut malware sample, including packer identification, network analysis, backdoor detection, and YARA rule creation."
+overview: |
+  This lab provides hands-on experience with advanced malware analysis techniques using the Coconut malware sample. You will work with Hackerbot, an interactive chatbot that guides you through a series of practical challenges and quiz questions about the malware sample. The lab covers packer identification, network analysis, backdoor detection, file exfiltration, and YARA rule creation.
+
+  The victim_server has been infected with a malware sample, and your desktop analysis machine has a copy of the binary sample. Hackerbot will provide you with a series of practical challenges and quiz questions about the malware sample and reward you with flags for successful completion. Further flags can be found on the infected system.
+tags: ["malware-analysis", "reverse-engineering", "hackerbot", "coconut", "backdoor", "yara", "network-analysis", "ctf"]
+categories: ["software_and_malware_analysis"]
+type: ["ctf-lab", "lab-sheet"]
+difficulty: "intermediate"
+cybok:
+  - ka: "MAT"
+    topic: "Malware Analysis"
+    keywords: ["analysis techniques", "analysis environments", "malware behavior"]
+---
+
+## Getting Started {#getting-started}
+### VMs in This Lab {#vms-in-this-lab}
+
+==VM: Start these VMs== (if you haven't already):
+- **hackerbot_server** (leave it running, you don't log into this)
+- **desktop**
+- **victim_server**
+
+### Your Login Details for the "Desktop" VM {#your-login-details-for-the-desktop-vm}
+
+> Note: Password: `tiaspbiqe2r` (**t**his **i**s **a** **s**ecure **p**assword **b**ut **i**s **q**uite **e**asy **2** **r**emember)
+
+> Note: You won't login to the hackerbot_server, but the VM needs to be running to complete the lab.
+
+## Meet Hackerbot! {#meet-hackerbot}
+
+This exercise involves Hackerbot, a chatbot who will interact with you and your system. If you satisfy Hackerbot by completing the challenges she will reveal flags to you.
+
+**On the desktop VM:**
+
+==action: Open Pidgin and send some messages to Hackerbot:==
+
+- Try asking Hackerbot some questions
+- Send "help"
+- Send "list"
+- Send "hello"
+
+
+## Introduction {#introdution}
+
+The victim_server has been infected with a malware sample. Your desktop analysis machine has a copy of the binary sample which is running on the victim_server at the path: `/home/==edit: main_user==/malware/coconut`.
+
+This task involves analysing the coconut malware sample. Hackerbot will provide you with a series of practical challenges and quiz questions about the malware sample and reward you with flags for successful completion. Further flags can be found on the infected system (victim_server).
+
+## Advanced Analysis Techniques {#advanced-analysis-techniques}
+
+Before attempting the Hackerbot challenges, you'll need to understand several advanced techniques used in malware analysis.
+
+### YARA Rule Creation {#yara-rule-creation}
+
+YARA (Yet Another Recursive Acronym) is a powerful pattern-matching tool used to identify and classify malware samples. YARA rules are written in a simple, yet expressive language that allows analysts to create signatures for malware detection.
+
+#### Key YARA Concepts:
+- **Rules**: Contain metadata and conditions for pattern matching
+- **Strings**: Define patterns to search for in files
+- **Conditions**: Specify when a rule should trigger
+- **False Positives**: Rules that incorrectly match legitimate files
+
+#### Basic YARA Rule Structure:
+```yaml
+rule RuleName {
+    meta:
+        description = "Description of what the rule detects"
+        author = "Your name"
+        date = "2024-01-01"
+    
+    strings:
+        $string1 = "malicious_pattern" ascii
+        $string2 = { 48 65 6C 6C 6F } // hex pattern
+    
+    condition:
+        any of them
+}
+```
+
+> Tip: Effective YARA rules should be specific enough to catch the target malware while avoiding false positives on legitimate system files.
+
+### Advanced Malware Behavior Analysis {#advanced-malware-behavior-analysis}
+
+The Coconut malware sample demonstrates sophisticated attack techniques that require comprehensive analysis skills:
+
+#### Analysis Techniques Covered:
+- **Packer Identification** - Detecting packers
+- **Network Behavior Analysis** - Identifying open ports and communication
+- **Backdoor Detection** - Finding hidden access mechanisms
+- **Function Analysis** - Understanding malware capabilities
+- **Data Exfiltration** - Extracting files from infected systems
+
+#### Multi-Vector Attack Analysis:
+The Coconut malware uses multiple attack vectors:
+- **HTTP backdoors** - Web-based remote access
+- **ICMP shells** - Covert communication channels
+- **Bind shells** - Direct network access
+- **Session management** - Timeout and authentication features
+
+> Warning: This lab involves analyzing real malware. Ensure you're working in the provided isolated environment.
+
+### File Exfiltration and Data Recovery {#file-exfiltration-and-data-recovery}
+
+One of the key objectives in malware analysis is understanding what data attackers can access and extract:
+
+#### Exfiltration Techniques:
+- **Backdoor access** - Using malware's own mechanisms
+- **File transfer** - Moving data from infected systems
+- **Integrity verification** - Ensuring complete data transfer
+- **Steganography detection** - Finding hidden data
+
+#### Analysis Objectives:
+- Identify accessible files on the infected system
+- Use backdoor mechanisms to extract data
+- Verify file integrity using checksums
+- Understand attacker capabilities and objectives
+
+### Interactive Analysis with Hackerbot {#interactive-analysis-with-hackerbot}
+
+Hackerbot is a chatbot designed to guide you through the challenges. Unlike traditional labs, Hackerbot provides:
+
+#### Key Features:
+- **Interactive guidance** - Step-by-step analysis assistance
+- **Real-time feedback** - Immediate validation of your analysis
+- **Progressive challenges** - Increasingly complex analysis tasks
+- **Flag rewards** - Immediate recognition of successful completion
+
+#### Communication Commands:
+- `help` - Get assistance with available commands
+- `list` - View available challenges
+- `ready` - Indicate you're ready for the next challenge
+- `answer X` - Submit your answer to a quiz question
+
+> Note: Hackerbot will guide you through packer identification, network analysis, backdoor detection, and YARA rule creation for the Coconut malware sample.
+
+
+## Hackerbot Challenges {#hackerbot-challenges}
+
+> Flag: Interact with Hackerbot, and complete the tasks. Submit the flags into Hacktivity.
+