analyzing-bootkit-and-rootkit-samples

Analyzing Bootkit And Rootkit Samples

Overview

Cybersecurity skill for analyzing bootkit and rootkit samples. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "analyzing bootkit and rootkit samples"

• "Analyzes bootkit and advanced rootkit malware that infects the Master Boot Recor"

• A system shows signs of compromise that persist through OS reinstallation

• Antivirus and EDR are unable to detect malware despite clear evidence of compromise

• UEFI Secure Boot has been disabled or shows integrity violations

• Memory forensics reveals rootkit behavior (hidden processes, hooked system calls)

• Investigating nation-state level threats known to deploy bootkits (APT28, APT41, Equation Group)

Do not use for standard user-mode malware; bootkits and rootkits operate at a fundamentally different level requiring specialized analysis techniques.

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

• Disk imaging tools (dd, FTK Imager) for acquiring MBR/VBR sectors
• UEFITool for UEFI firmware volume analysis and module extraction
• chipsec for hardware-level firmware security assessment
• Ghidra with x86 real-mode and 16-bit support for MBR code analysis
• Volatility 3 for kernel-level rootkit artifact detection
• Bootable Linux live USB for offline system analysis

Workflow

# 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 bootkit and rootkit samples 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 bootkit and rootkit samples 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 bootkit and rootkit samples.
6. Document Analysis — Write findings report with evidence, conclusions, and recommendations.