CVE-2023-37941
Apache Superset metadata db write access leads to remote code execution
- CVSS 6.6
- CWE-502 Deserialization of Untrusted Data
- Input Validation and Sanitization
- Remote
If an attacker gains write access to the Apache Superset metadata database, they could persist a specifically crafted Python object that may lead to remote code execution on Superset's web backend. The Superset metadata db is an 'internal' component that is typically only accessible directly by the system administrator and the superset process itself. Gaining access to that database should be difficult and require significant privileges. This vulnerability impacts Apache Superset versions 1.5.0 up to and including 2.1.0. Users are recommended to upgrade to version 2.1.1 or later.
- CVSS base score
- 6.6
- Published
- 2023-09-06
- OWASP
- A08 Software and Data Integrity Failures
- Orthogonal defect classification
- Function
- Code defect classification
- Incorrect Functionality
- Category
- Input Validation and Sanitization
- Subcategory
- Insecure Parsing or Deserialization
- Accessibility scope
- Remote
- Impact
- Arbitrary Code Execution
- Fixed by upgrading
- Yes
Solution
Update Apache Superset to version 2.1.1 or later.
Vulnerable code sample
import pickle
import sqlalchemy
# Assuming `session` is your SQLAlchemy session connected to the Superset metadata database
def persist_vulnerable_object(obj):
# Serialize the object using pickle (vulnerable to arbitrary code execution)
data = pickle.dumps(obj)
# Store the serialized data in the database
new_entry = YourModel(data=data) # Replace YourModel with your actual model
session.add(new_entry)
session.commit()
# Example usage
user_input = {'key': 'value', '__reduce__': (os.system, ('echo Vulnerable!',))} # Malicious input
persist_vulnerable_object(user_input)Patched code sample
import pickle
import sqlalchemy
# Assuming `session` is your SQLAlchemy session connected to the Superset metadata database
def safe_load(data):
# Only allow loading of safe types
allowed_classes = (dict, list, str, int, float, bool)
obj = pickle.loads(data)
if not isinstance(obj, allowed_classes):
raise ValueError("Unsafe object type detected!")
return obj
def persist_safe_object(obj):
# Serialize the object safely
safe_data = pickle.dumps(obj)
# Store the safe_data in the database
new_entry = YourModel(data=safe_data) # Replace YourModel with your actual model
session.add(new_entry)
session.commit()
# Example usage
try:
user_input = {'key': 'value'} # Replace with actual user input
persist_safe_object(user_input)
except Exception as e:
print(f"Error: {e}")Cite this entry
@misc{vaitp:cve202337941,
title = {{Apache Superset metadata db write access leads to remote code execution}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2023},
note = {VAITP Python Vulnerability Dataset, entry CVE-2023-37941},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2023-37941/}}
}
Introducing the "VAITP dataset": a specialized repository of Python vulnerabilities and patches, meticulously compiled for the use of the security research community. As Python's prominence grows, understanding and addressing potential security vulnerabilities become crucial. Crafted by and for the cybersecurity community, this dataset offers a valuable resource for researchers, analysts, and developers to analyze and mitigate the security risks associated with Python. Through the comprehensive exploration of vulnerabilities and corresponding patches, the VAITP dataset fosters a safer and more resilient Python ecosystem, encouraging collaborative advancements in programming security.
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