Security Vulnerability Report

Type: XML External Entity (XXE) Injection
Severity: High
File: packages/markitdown/src/markitdown/converter_utils/docx/pre_process.py, line 45
Commit tested: 4a5340f

Description

The function _convert_omath_to_latex() in pre_process.py uses ET.fromstring() to parse XML content extracted from user-supplied DOCX files:

math_root = ET.fromstring(MATH_ROOT_TEMPLATE.format(str(tag)))

The tag variable originates from BeautifulSoup parsing of the DOCX document.xml, which is user-supplied content. A DOCX file is a ZIP archive containing XML — an attacker can craft a DOCX with malicious Office Math Markup (OMML) tags containing XML external entity declarations.

Python's xml.etree.ElementTree is documented as "not secure against maliciously constructed data". While CPython's expat-based parser has limited XXE surface compared to lxml, it is still vulnerable to:

• Billion Laughs (exponential entity expansion) causing denial of service
• External entity resolution depending on parser configuration
• DTD processing attacks

Secondary Finding (Medium)

Unvalidated exiftool_path parameter reaching subprocess.run() in packages/markitdown/src/markitdown/converters/_exiftool.py (lines 22 and 41). While this uses list-style invocation (not shell=True), the path is not validated against path traversal or symlink attacks.

Recommended Fix

For the XXE:

# Replace:
from xml.etree import ElementTree as ET

# With:
import defusedxml.ElementTree as ET

Or call defusedxml.defuse_stdlib() at module initialization.

For the subprocess issue:

• Validate exiftool_path against an allowlist or verify it resolves to a known binary using shutil.which()

Impact

markitdown is widely used for converting documents to Markdown. Any application processing untrusted DOCX files is potentially vulnerable, including:

• Web services accepting document uploads
• CI/CD pipelines processing documentation
• AI/LLM pipelines using markitdown for document ingestion
• The markitdown MCP server (markitdown-mcp)

Disclosure Process

We attempted to report this through [email protected] (bounced — no longer accepted) and the MSRC Researcher Portal. This issue was discovered during an automated scan using the Colosseum deep code analysis platform — 51 gauntlets × 2 platforms × 7 rounds, with 98% cross-platform agreement.

Full scan report: https://battleharden.dev/reports/markitdown