CVE-2023-38898
Sensitive information exposure in _asyncio._swap_current_task
- CVSS 5.3
- CWE-200: Information Exposure
- Information Leakage
- Local
An issue in Python cpython v.3.7 allows an attacker to obtain sensitive information via the _asyncio._swap_current_task component.
- CVSS base score
- 5.3
- Published
- 2023-08-15
- OWASP
- A05 Security Misconfiguration
- Orthogonal defect classification
- Timing/Serialization
- Code defect classification
- Timing Issues
- Category
- Information Leakage
- Subcategory
- Insecure Handling of Sensitive Data
- Accessibility scope
- Local
- Impact
- Information Disclosure
- Fixed by upgrading
- Yes
Solution
Upgrade to Python version 3.7.3 or later.
Vulnerable code sample
import asyncio
async def sensitive_coroutine():
sensitive_data = "secret_information"
print("Running sensitive coroutine")
return sensitive_data
async def main():
task = asyncio.create_task(sensitive_coroutine())
current_task = asyncio._asyncio._swap_current_task(task)
print("Current task:", current_task)
asyncio.run(main())Patched code sample
import asyncio
class TaskManager:
def __init__(self):
self._current_task = None
def set_current_task(self, task):
self._current_task = task
def get_current_task(self):
if self._current_task is None:
raise RuntimeError("No current task set.")
return self._current_task
async def example_coroutine():
print("Running example coroutine")
async def main():
task_manager = TaskManager()
task = asyncio.create_task(example_coroutine())
task_manager.set_current_task(task)
await task
asyncio.run(main())Cite this entry
@misc{vaitp:cve202338898,
title = {{Sensitive information exposure in _asyncio._swap_current_task}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2023},
note = {VAITP Python Vulnerability Dataset, entry CVE-2023-38898},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2023-38898/}}
}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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