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Analyzing Uefi Bootkit Persistence

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mukul975
analyzing-uefi-bootkit-persistence

Analyzes UEFI bootkit persistence (SPI flash implants, ESP modifications, Secure Boot bypass, UEFI variable manipulation) using chipsec for firmware integrity verification, detecting known families like BlackLotus, LoJax, and MoonBounce. Use for UEFI malware analysis, firmware persistence investigation, or Secure Boot bypass detection.

Overview

Publishermukul975
RepositoryAnthropic-Cybersecurity-Skills
Skill nameanalyzing-uefi-bootkit-persistence
Stars
34.3K
Forks
4.2K
Bundled files
2
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mukul975 on GitHub. Read the source before you install it.

Installation

Install the Analyzing Uefi Bootkit Persistence AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-uefi-bootkit-persistence
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git /tmp/Anthropic-Cybersecurity-Skills
mkdir -p .claude/skills
cp -r /tmp/Anthropic-Cybersecurity-Skills/skills/analyzing-uefi-bootkit-persistence .claude/skills/analyzing-uefi-bootkit-persistence
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Analyzing Uefi Bootkit Persistence in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Analyzing Uefi Bootkit Persistence on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Analyzing Uefi Bootkit Persistence is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Analyzing UEFI Bootkit Persistence

When to Use

  • A compromised system re-establishes C2 communication after OS reinstallation or disk replacement
  • Secure Boot has been tampered with, disabled, or shows unexpected Machine Owner Key (MOK) enrollment
  • Firmware integrity verification fails against vendor-provided baselines
  • Memory forensics reveals rootkit components loading during early boot phase
  • Investigating advanced persistent threat (APT) campaigns known to deploy UEFI implants
  • Auditing firmware security posture for enterprise endpoint hardening

Do not use for standard MBR-based bootkits on legacy BIOS systems without UEFI; use MBR/VBR bootkit analysis instead.

Prerequisites

  • chipsec framework for SPI flash dumping, UEFI variable inspection, and firmware security modules
  • UEFITool / UEFIExtract for firmware volume parsing and DXE driver extraction
  • Python 3.8+ with struct, hashlib, subprocess, and os modules
  • Bootable Linux live USB for offline analysis (avoid running compromised OS)
  • Volatility 3 for memory forensics of boot-phase artifacts
  • YARA with UEFI malware rule sets for pattern-based detection
  • Access to vendor firmware baselines for integrity comparison

Workflow

Step 1: Dump SPI Flash Firmware

Acquire the UEFI firmware from the SPI flash chip for offline analysis:

bash
# Using chipsec to dump SPI flash contents
python chipsec_util.py spi dump firmware_dump.rom

# Using flashrom as an alternative
flashrom -p internal -r firmware_dump.rom

# Verify dump integrity
sha256sum firmware_dump.rom

# Read SPI flash descriptor information
python chipsec_util.py spi info

# Check SPI flash region access permissions
python chipsec_main.py -m common.spi_access

# Verify BIOS write protection is enabled
python chipsec_main.py -m common.bios_wp

# Check SPI flash controller lock
python chipsec_main.py -m common.spi_lock

Step 2: Inspect UEFI Variables

Enumerate and analyze UEFI variables for unauthorized modifications:

bash
# List all UEFI variables on a live system
python chipsec_util.py uefi var-list

# List UEFI variables from a SPI flash dump
python chipsec_util.py uefi var-list-spi firmware_dump.rom

# Read specific Secure Boot variables
python chipsec_util.py uefi var-read SecureBoot 8BE4DF61-93CA-11D2-AA0D-00E098032B8C
python chipsec_util.py uefi var-read SetupMode 8BE4DF61-93CA-11D2-AA0D-00E098032B8C
python chipsec_util.py uefi var-read PK 8BE4DF61-93CA-11D2-AA0D-00E098032B8C
python chipsec_util.py uefi var-read KEK 8BE4DF61-93CA-11D2-AA0D-00E098032B8C
python chipsec_util.py uefi var-read db D719B2CB-3D3A-4596-A3BC-DAD00E67656F

# Dump UEFI key databases for analysis
python chipsec_util.py uefi keys

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

Step 3: Analyze EFI System Partition (ESP)

Inspect the ESP for unauthorized or modified boot components:

bash
# Mount ESP (typically the first FAT32 partition, ~100-500MB)
mkdir /mnt/esp
mount /dev/sda1 /mnt/esp

# List all files on ESP with timestamps
find /mnt/esp -type f -exec ls -la {} \;

# Check for BlackLotus indicators - custom directory under ESP:/system32/
ls -la /mnt/esp/system32/ 2>/dev/null

# Verify Windows Boot Manager signature
sigcheck -a /mnt/esp/EFI/Microsoft/Boot/bootmgfw.efi

# Hash all EFI binaries for comparison against known-good values
find /mnt/esp -name "*.efi" -exec sha256sum {} \;

# Check for unauthorized .efi files outside standard directories
find /mnt/esp -name "*.efi" | grep -v "Microsoft\|Boot\|ubuntu\|grub"

# Look for grubx64.efi planted by BlackLotus
find /mnt/esp -name "grubx64.efi" -exec sha256sum {} \;

# Examine MeasuredBoot logs for anomalies (Windows)
# Logs located at C:\Windows\Logs\MeasuredBoot\

Step 4: Scan Firmware for Known Bootkit Signatures

Analyze the firmware dump for known UEFI malware patterns:

bash
# Extract all firmware modules with UEFIExtract
UEFIExtract firmware_dump.rom all

# Generate firmware module whitelist from vendor baseline
python chipsec_main.py -m tools.uefi.whitelist -a generate,baseline.json,firmware_vendor.rom

# Compare current firmware against whitelist
python chipsec_main.py -m tools.uefi.whitelist -a check,baseline.json,firmware_dump.rom

# Scan firmware with UEFI-specific YARA rules
yara -r uefi_bootkits.yar firmware_dump.rom

# Scan extracted modules individually
find firmware_dump.rom.dump -name "*.efi" -exec yara -r uefi_bootkits.yar {} \;

# Check for modified CORE_DXE module (targeted by MoonBounce, CosmicStrand)
# Compare GUID and hash against vendor baseline

Step 5: Detect Secure Boot Bypass Mechanisms

Check for known Secure Boot bypass techniques:

bash
# Check if Secure Boot is enabled
python chipsec_main.py -m common.secureboot.variables

# Verify SMM (System Management Mode) protections
python chipsec_main.py -m common.smm

# Check SMM BIOS write protection
python chipsec_main.py -m common.bios_smi

# On Windows - check boot configuration for bypass indicators
bcdedit /enum firmware
bcdedit /v

# Check for testsigning/nointegritychecks/debug flags
bcdedit | findstr /i "testsigning nointegritychecks debug"

# Verify HVCI (Hypervisor-enforced Code Integrity) is not disabled
# BlackLotus sets HKLM:\...\DeviceGuard\...\HypervisorEnforcedCodeIntegrity Enabled=0
reg query "HKLM\SYSTEM\CurrentControlSet\Control\DeviceGuard\Scenarios\HypervisorEnforcedCodeIntegrity" /v Enabled

# Check Secure Boot state via PowerShell
# Confirm-SecureBootUEFI returns True if properly enabled

Step 6: Perform Boot Chain Integrity Verification

Verify every component in the boot chain from firmware through kernel:

bash
# Verify firmware integrity against vendor hash
sha256sum firmware_dump.rom
# Compare with vendor-published hash

# Verify bootloader signatures
sigcheck -a C:\Windows\Boot\EFI\bootmgfw.efi
sigcheck -a C:\Windows\System32\winload.efi
sigcheck -a C:\Windows\System32\ntoskrnl.exe

# Check for unsigned or invalid boot drivers
sigcheck -u -e C:\Windows\System32\drivers\

# Analyze Measured Boot logs for unexpected EFI_Boot_Services_Application entries
# BlackLotus components appear as EV_EFI_Boot_Services_Application

# Memory forensics for boot-phase artifacts
vol3 -f memory.dmp windows.modules
vol3 -f memory.dmp windows.driverscan

Step 7: Document UEFI Bootkit Analysis Findings

Compile a comprehensive analysis report:

Report should include:
- Firmware version, vendor, and platform identification
- SPI flash protection status (write protect, lock bits, access control)
- Secure Boot configuration and any bypass indicators detected
- UEFI variable anomalies (unauthorized keys, modified db/dbx, MOK enrollment)
- ESP contents inventory with hash verification against known-good baselines
- Firmware module comparison against vendor whitelist (added, modified, removed)
- Known bootkit family attribution with confidence level
- Boot chain integrity verification results for each component
- Remediation steps (reflash, key rotation, hardware replacement)
- MITRE ATT&CK mapping (T1542.001 - System Firmware, T1542.003 - Bootkit)

Key Concepts

TermDefinition
UEFI BootkitMalware that persists in UEFI firmware or the boot process, executing before the operating system loads and surviving OS reinstallation
SPI FlashSerial Peripheral Interface flash memory chip on the motherboard storing UEFI firmware; firmware-level bootkits like LoJax and MoonBounce modify SPI flash contents
EFI System Partition (ESP)FAT32 partition containing EFI bootloaders and drivers; bootkits like BlackLotus and ESPecter modify files on the ESP for persistence
Secure BootUEFI security feature that verifies digital signatures of boot components; can be bypassed via vulnerabilities (CVE-2022-21894) or MOK enrollment
DXE DriverDriver Execution Environment driver loaded during UEFI boot; firmware implants inject malicious DXE drivers that execute before the OS
Machine Owner Key (MOK)User-installable Secure Boot key; BlackLotus enrolls attacker-controlled MOKs to sign malicious bootloaders
chipsecIntel platform security assessment framework for analyzing SPI flash, UEFI variables, Secure Boot, and hardware security configurations
HVCIHypervisor-enforced Code Integrity, a Windows security feature that bootkits disable to load unsigned kernel drivers

Tools & Systems

  • chipsec: Intel framework for dumping SPI flash, reading UEFI variables, verifying firmware write protection, and Secure Boot configuration auditing
  • UEFITool: Open-source UEFI firmware image parser for inspecting firmware volumes, extracting DXE drivers, and comparing module GUIDs
  • sigcheck: Sysinternals utility for verifying digital signatures of EFI binaries and boot chain components
  • flashrom: Open-source SPI flash programmer for reading and writing firmware chips on supported platforms
  • YARA: Pattern matching engine used with UEFI-specific rule sets to detect known bootkit signatures in firmware dumps

Common Scenarios

Scenario: Investigating Persistent Compromise Surviving OS Reinstallation

Context: An enterprise endpoint was reimaged after a confirmed breach, but identical C2 beaconing resumed within hours. The endpoint has UEFI firmware with Secure Boot enabled, and a TPM 2.0 chip. The security team suspects a UEFI-level implant similar to BlackLotus or LoJax.

Approach:

  1. Boot the system from a trusted Linux live USB to avoid executing any compromised OS components
  2. Dump SPI flash firmware using chipsec_util.py spi dump for offline analysis
  3. Mount the ESP and hash all .efi files for comparison against known-good values from identical hardware
  4. Check for the ESP:/system32/ directory (BlackLotus indicator) and unauthorized grubx64.efi
  5. Extract firmware modules with UEFIExtract and compare GUID inventory against vendor baseline
  6. Verify Secure Boot variables -- look for unauthorized MOK enrollment or modified db/dbx
  7. Check SPI flash write protection and lock bits using chipsec modules
  8. Scan firmware dump and extracted modules with UEFI-specific YARA rules
  9. If BlackLotus is suspected, check registry for HVCI disabled and MeasuredBoot logs for anomalous entries

Pitfalls:

  • Running analysis from the compromised OS (rootkit components hide from live analysis)
  • Only checking the ESP without examining SPI flash firmware (misses firmware-level implants like LoJax, MoonBounce)
  • Assuming Secure Boot prevents all bootkits (CVE-2022-21894 and other bypasses exist)
  • Not preserving the original firmware dump before remediation (critical forensic evidence)
  • Reflashing firmware without verifying the vendor image is authentic and unmodified

Output Format

UEFI BOOTKIT PERSISTENCE ANALYSIS REPORT
============================================
System:           Lenovo ThinkPad X1 Carbon Gen 11
Firmware:         N3HET82W (1.54) - Lenovo UEFI BIOS
Platform:         Intel 13th Gen (Raptor Lake)
TPM:              2.0 (Infineon SLB 9672)
Secure Boot:      ENABLED (BYPASSED via CVE-2022-21894)
Analysis Method:  Linux live USB + chipsec + UEFITool

SPI FLASH PROTECTION STATUS
BIOS Write Protection:    DISABLED [!]
SPI Flash Lock (FLOCKDN): SET [OK]
SMM BIOS Write Protect:   DISABLED [!]
SPI Protected Ranges:     Region 0 only (descriptor)

UEFI VARIABLE ANALYSIS
SecureBoot:        Enabled (value=1)
SetupMode:         Disabled (value=0)
PK:                Lenovo Ltd. (legitimate)
KEK:               Microsoft + Lenovo (legitimate)
db:                MODIFIED - contains unauthorized entry [!]
  [!] Unknown certificate: CN=Secure Boot Signing, O=Unknown
  [!] Not present in vendor baseline db
MOK:               1 unauthorized key enrolled [!]
  [!] MOK enrolled: CN=shim, self-signed, not from distro vendor

ESP PARTITION ANALYSIS
Total EFI binaries:     12
Verified (signed):      9
Modified (hash mismatch): 2 [!]
Unauthorized:           1 [!]

  [!] EFI/Microsoft/Boot/bootmgfw.efi - MODIFIED
      Expected SHA-256: a3f2c8...
      Current SHA-256:  7b1e4d...
      Signature:        Valid (signed with unauthorized MOK)

  [!] EFI/Microsoft/Boot/grubx64.efi - UNAUTHORIZED
      SHA-256:  e9c1a7...
      Not present in vendor baseline
      Matches BlackLotus stage-2 loader signature

  [!] system32/ directory present on ESP (BlackLotus artifact)
      Directory empty (files deleted post-installation)

FIRMWARE MODULE ANALYSIS
Total firmware modules:   312
Vendor baseline modules:  312
Added modules:            0
Modified modules:         0
SPI flash integrity:      CLEAN (no firmware-level implant detected)

BOOTKIT ATTRIBUTION
Family:           BlackLotus
Confidence:       HIGH
Persistence:      ESP-based (not SPI flash)
Bypass Method:    CVE-2022-21894 (baton drop)
MITRE ATT&CK:    T1542.003 (Bootkit), T1553.006 (Code Signing Policy Modification)

INDICATORS OF COMPROMISE
- ESP:/system32/ directory (empty, post-cleanup artifact)
- ESP:/EFI/Microsoft/Boot/grubx64.efi (unauthorized, BlackLotus loader)
- Modified bootmgfw.efi (re-signed with attacker MOK)
- HVCI disabled via registry: DeviceGuard\...\Enabled = 0
- Unauthorized MOK enrollment in UEFI variable store
- MeasuredBoot log shows EV_EFI_Boot_Services_Application for grubx64.efi

REMEDIATION
1. Replace bootmgfw.efi with authentic copy from Windows installation media
2. Delete unauthorized grubx64.efi and system32/ directory from ESP
3. Reset Secure Boot keys to factory defaults (clear MOK, restore PK/KEK/db)
4. Enable BIOS write protection and verify SPI flash lock bits
5. Apply firmware update to latest version (patches CVE-2022-21894)
6. Enable HVCI and verify via Group Policy
7. Reimport only trusted certificates into Secure Boot db
8. Monitor MeasuredBoot logs for anomalous boot component loading

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Analyzing Uefi Bootkit Persistence AI skill do?

Analyzes UEFI bootkit persistence (SPI flash implants, ESP modifications, Secure Boot bypass, UEFI variable manipulation) using chipsec for firmware integrity verification, detecting known families like BlackLotus, LoJax, and MoonBounce. Use for UEFI malware analysis, firmware persistence investigation, or Secure Boot bypass detection.

Why use Analyzing Uefi Bootkit Persistence on TypingMind?

Because you install it once and use it with any model. Analyzing Uefi Bootkit Persistence is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Analyzing Uefi Bootkit Persistence in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-uefi-bootkit-persistence. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Analyzing Uefi Bootkit Persistence?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Analyzing Uefi Bootkit Persistence?

As many as you like. As long as a model supports skills, you can use Analyzing Uefi Bootkit Persistence with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Analyzing Uefi Bootkit Persistence AI skill free?

Yes. It is published on GitHub by mukul975 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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