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Analysis & spreadsheets35k · #5461

analyzing-macro-malware-in-office-documents

Helps your agent understand how viruses in Office documents work. It looks for malicious code that can download more threats or hide.

What it does

This tool analyzes Office documents (Word, Excel, PowerPoint) containing malicious macros. It looks for code that tries to download other programs, execute commands, hide on the system, or trick analysis.

When to use it

  • ✓When you receive a suspicious Office document via email.
  • ✓When investigating attacks that use malicious documents.
  • ✓To understand how a malicious macro works and what it does.

Example of what to ask your AI

“Analyze this Word document to see if it has dangerous macros.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/analyzing-macro-malware-in-office-documents/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/analyzing-macro-malware-in-office-documents/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool uses specific programs to extract the macro code. Then, it tries to 'unscramble' this code to make it readable and identify dangerous actions.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-macro-malware-in-office-documents

Or download just the file:

curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/analyzing-macro-malware-in-office-documents/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Analyzing Macro Malware in Office Documents

When to Use

  • A suspicious Office document (.doc, .docm, .xls, .xlsm, .ppt) has been flagged by email security
  • Investigating phishing campaigns that deliver weaponized Office documents
  • Extracting VBA macro code to identify the payload download URL and execution method
  • Analyzing obfuscated VBA code to understand the full attack chain
  • Determining if a document uses DDE, ActiveX, or remote template injection instead of macros

Do not use for analyzing non-macro Office threats (DDE, remote template injection); while this skill covers detection of these, specialized analysis may be needed.

Prerequisites

  • Python 3.8+ with oletools installed (pip install oletools)
  • oledump.py from Didier Stevens (https://blog.didierstevens.com/programs/oledump-py/)
  • Isolated analysis VM without Microsoft Office installed (prevents accidental execution)
  • XLMDeobfuscator for Excel 4.0 macro analysis (pip install xlmdeobfuscator)
  • LibreOffice for safe document rendering (does not execute VBA macros by default)

Workflow

Step 1: Initial Document Triage

Determine if the document contains macros or other active content:

# Quick triage with olevba
olevba suspect.docm

# Check for OLE streams and macros
oleid suspect.docm

# Output indicators:
# VBA Macros:        True/False
# XLM Macros:        True/False
# External Relationships: True/False (remote template)
# ObjectPool:        True/False (embedded objects)
# Flash:             True/False (SWF objects)

# Comprehensive OLE analysis
oledump.py suspect.docm

# List all OLE streams with macro indicators
# Streams marked with 'M' contain VBA macros
# Streams marked with 'm' contain macro attributes

Step 2: Extract and Analyze VBA Code

Pull out the complete VBA macro source:

# Extract VBA with full deobfuscation
olevba --decode --deobf suspect.docm

# Extract just the VBA source code
olevba --code suspect.docm > extracted_vba.txt

# Detailed extraction with oledump
oledump.py -s 8 -v suspect.docm  # Stream 8 (adjust based on stream listing)

# Extract all macro streams
oledump.py -p plugin_vba_dco suspect.docm
Key VBA Elements to Identify:
━━━━━━━━━━━━━━━━━━━━━━━━━━━
Auto-Execution Triggers:
  - Auto_Open / AutoOpen (Word)
  - Auto_Close / AutoClose
  - Document_Open / Document_Close
  - Workbook_Open (Excel)
  - AutoExec

Suspicious Functions:
  - Shell() / Shell.Application
  - WScript.Shell.Run / Exec
  - CreateObject("WScript.Shell")
  - PowerShell execution
  - URLDownloadToFile
  - MSXML2.XMLHTTP (HTTP requests)
  - ADODB.Stream (file writing)
  - Environ() (environment variables)
  - CallByName (indirect method calls)

Step 3: Deobfuscate VBA Code

Remove obfuscation layers to reveal the payload:

# VBA deobfuscation techniques
import re

def deobfuscate_vba(code):
    # 1. Resolve Chr() calls: Chr(104) & Chr(116) -> "ht"
    def resolve_chr(match):
        try:
            return chr(int(match.group(1)))
        except:
            return match.group(0)
    code = re.sub(r'Chr\$?\((\d+)\)', resolve_chr, code)

    # 2. Remove string concatenation: "htt" & "p://" -> "http://"
    code = re.sub(r'"\s*&\s*"', '', code)

    # 3. Resolve ChrW calls: ChrW(104)
    code = re.sub(r'ChrW\$?\((\d+)\)', resolve_chr, code)

    # 4. Resolve StrReverse: StrReverse("exe.daolnwod") -> "download.exe"
    def resolve_reverse(match):
        return '"' + match.group(1)[::-1] + '"'
    code = re.sub(r'StrReverse\("([^"]+)"\)', resolve_reverse, code)

    # 5. Remove Mid$/Left$/Right$ obfuscation (complex, mark for manual review)

    # 6. Resolve Replace(): Replace("Powxershxell", "x", "")
    def resolve_replace(match):
        original = match.group(1)
        find = match.group(2)
        replace_with = match.group(3)
        return '"' + original.replace(find, replace_with) + '"'
    code = re.sub(r'Replace\("([^"]+)",\s*"([^"]+)",\s*"([^"]*)"\)', resolve_replace, code)

    return code

with open("extracted_vba.txt") as f:
    vba_code = f.read()

deobfuscated = deobfuscate_vba(vba_code)
print(deobfuscated)

Step 4: Analyze Excel 4.0 (XLM) Macros

Handle legacy Excel macros that bypass VBA detection:

# Detect XLM macros
olevba --xlm suspect.xlsm

# Deobfuscate XLM macros
xlmdeobfuscator -f suspect.xlsm

# Manual XLM analysis with oledump
oledump.py suspect.xlsm -p plugin_biff.py

# XLM (Excel 4.0) macro functions to watch for:

…
FAQ

What are macros?

Macros are small sequences of commands that can be added to documents to automate tasks. Unfortunately, they can also be used to run malicious code.

What is 'obfuscation'?

It's a technique used to make code difficult to read and understand, as if it were scrambled. The tool tries to undo this confusion.

Do I need to install anything to use it?

Yes, the tool requires the installation of specific programs (like oletools) and a safe analysis environment to prevent the malware from running accidentally.

Details

Original description by the author

Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA deobfuscation to extract the attack chain. Activates for requests involving Office macro analysis, VBA malware investigation, maldoc analysis, or document-based threat exam

repo: mukul975/Anthropic-Cybersecurity-Skills

Popularity

GitHub stars
35k
Ranking position
#5461
License
Apache-2.0
Updated
8/31/2026

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