analyzing-bootkit-and-rootkit-samples

Files (4)

• LICENSE
• SKILL.md
• api-reference.md · references/
• agent.py · scripts/

SKILL.md (first lines)

# 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

From adriannoes/awesome-agentic-ai, Apache-2.0.

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