Atlas / Skills / mukul975 / Analyzing Bootkit And Rootkit Samples

Analyzing Bootkit And Rootkit SamplesSAFE

skills/mukul975/analyzing-bootkit-and-rootkit-samples

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.0.0
Hosts
—
License
Apache-2.0
Stars
33,870
01

Overview

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Read from source at commit 6c59587be632OBSERVED · 2026-10-07
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: analyzing-bootkit-and-rootkit-samples
description: 'Analyzes bootkit and advanced rootkit malware infecting the Master
  Boot Record (MBR), Volume Boot Record (VBR), or UEFI firmware for below-OS persistence,
  covering boot sector analysis, UEFI module inspection, and anti-rootkit detection.
  Use when compromise survives OS reinstallation or antivirus/EDR fails to detect
  malware despite clear infection signs.

  '
domain: cybersecurity
subdomain: malware-analysis
tags:
- malware
- bootkit
- rootkit
- UEFI
- MBR-analysis
version: 1.0.0
author: mahipal
license: Apache-2.0
nist_csf:
- DE.AE-02
- RS.AN-03
- ID.RA-01
- DE.CM-01
mitre_attack:
- T1542.003
- T1542.001
- T1542.002
- T1014
- T1547.006
---

# Analyzing Bootkit and Rootkit Samples

## When to Use

- 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.

## 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

### Step 1: Acquire Boot Sectors and Firmware

Extract MBR, VBR, and UEFI firmware for offline analysis:

```bash
# Acquire MBR (first 512 bytes of disk)
dd if=/dev/sda of=mbr.bin bs=512 count=1

# Acquire first track (usually contains bootkit code beyond MBR)
dd if=/dev/sda of=first_track.bin bs=512 count=63

# Acquire VBR (Volume Boot Record - first sector of partition)
dd if=/dev/sda1 of=vbr.bin bs=512 count=1

# Acquire UEFI System Partition
mkdir /mnt/efi
mount /dev/sda1 /mnt/efi
cp -r /mnt/efi/EFI /analysis/efi_backup/

# Dump UEFI firmware (requires chipsec or flashrom)
# Using chipsec:
python chipsec_util.py spi dump firmware.rom

# Using flashrom:
flashrom -p internal -r firmware.rom

# Verify firmware dump integrity
sha256sum firmware.rom
```

### Step 2: Analyze MBR/VBR for Bootkit Code

Examine boot sector code for malicious modifications:

```bash
# Disassemble MBR code (16-bit real mode)
ndisasm -b16 mbr.bin > mbr_disasm.txt

# Compare MBR with known-good Windows MBR
# Standard Windows MBR begins with: EB 5A 90 (JMP 0x5C, NOP)
# Standard Windows 10 MBR: 33 C0 8E D0 BC 00 7C (XOR AX,AX; MOV SS,AX; MOV SP,7C00h)

python3 << 'PYEOF'
with open("mbr.bin", "rb") as f:
    mbr = f.read()

# Check MBR signature (bytes 510-511 should be 0x55AA)
if mbr[510:512] == b'\x55\xAA':
    print("[*] Valid MBR signature (0x55AA)")
else:
    print("[!] Invalid MBR signature")

# Check for known bootkit signatures
bootkit_sigs = {
    b'\xE8\x00\x00\x5E\x81\xEE': "TDL4/Alureon bootkit",
    b'\xFA\x33\xC0\x8E\xD0\xBC\x00\x7C\x8B\xF4\x50\x07': "Standard Windows MBR (clean)",
    b'\xEB\x5A\x90\x4E\x54\x46\x53': "Standard NTFS VBR (clean)",
}

for sig, name in bootkit_sigs.items():
    if sig in mbr:
        print(f"[{'!' if 'clean' not in name else '*'}] Signature match: {name}")

# Check partition table entries
print("\nPartition Table:")
for i in range(4):
    offset = 446 + (i * 16)
    entry = mbr[offset:offset+16]
    if entry != b'\x00' * 16:
        boot_flag = "Active" if entry[0] == 0x80 else "Inactive"
        part_type = entry[4]
        start_lba = int.from_bytes(entry[8:12], 'little')
        size_lba = int.from_bytes(entry[12:16], 'little')
        print(f"  Partition {i+1}: Type=0x{part_type:02X} {boot_flag} Start=LBA {start_lba} Size={size_lba} sectors")
PYEOF
```

### Step 3: Analyze UEFI Firmware for Implants

Inspect UEFI firmware volumes for unauthorized modules:

```bash
# Extract UEFI firmware components with UEFITool
# GUI: Open firmware.rom -> Inspect firmware volumes
# CLI:
UEFIExtract firmware.rom all

# List all DXE drivers (most common target for UEFI implants)
find firmware.rom.dump -name "*.efi" -exec file {} \;

# Compare against known-good firmware module list
# Each UEFI module has a GUID - compare against vendor baseline

# Verify Secure Boot configuration
python chipsec_main.py -m common.secureboot.variables

# Check SPI flash write protection
python chipsec_main.py -m common.bios_wp

# Check for known UEFI malware patterns
yara -r uefi_malware.yar firmware.rom
```

```
Known UEFI Bootkit Detection Points:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
LoJax (APT28):
  - Modified SPI flash
  - Added DXE driver that drops agent to Windows
  - Persists through OS reinstall and disk replacement

BlackLotus:
  - Exploits CVE-2022-21894 to bypass Secure Boot
  - Modifies EFI System Partition bootloader
  - Installs kernel driver during boot

CosmicStrand:
  - Modifies CORE_DXE firmware module
  - Hooks kernel initialization during boot
  - Drops shellcode into Windows kernel memory

MoonBounce:
  - SPI flash implant in CORE_DXE module
  - Modified GetVariable() function
  - Deploys user-mode implant through boot chain

ESPecter:
  - Modifies Windows Boot Manager on ESP
  - Patches winload.efi to disable DSE
  - Loads unsigned kernel driver
```

### Step 4: Detect Kernel-Level Rootkit Behavior

Analyze the running system for rootkit artifacts:

```bash
# Memory forensics for rootkit detection
# SSDT hook detection
vol3 -f memory.dmp windows.ssdt | grep -v "ntoskrnl\|win32k"

# Hidden processes (DKOM)
vol3 -f memory.dmp windows.psscan > psscan.txt
vol3 -f memory.dmp windows.pslist > pslist.txt
# Diff to find hidden processes

# Kernel callback registration (ro
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-07 · audit v0.4.1 · source sha 6c59587be632full audit observations/trust-audit/skill/mukul975__analyzing-bootkit-and-rootkit-samples.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-076c59587be632SAFEB89first audit
05

Questions

What does the Analyzing Bootkit And Rootkit Samples skill do?

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Is Analyzing Bootkit And Rootkit Samples safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Analyzing Bootkit And Rootkit Samples access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (6c59587be632), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.

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