CVE-2020-4636
Command injection in IBM Resilient OnPrem 38.2 via Python3 scripting
- CVSS 7.2
- CWE-77: Improper Neutralization of Special Elements used in a Command ('Command Injection')
- Input Validation and Sanitization
- Remote
IBM Resilient OnPrem 38.2 could allow a privileged user to inject malicious commands through Python3 scripting. IBM X-Force ID: 185503.
- CVSS base score
- 7.2
- Published
- 2020-10-16
- OWASP
- A03 Injection
- Orthogonal defect classification
- Function
- Code defect classification
- Incorrect Functionality
- Category
- Input Validation and Sanitization
- Subcategory
- Command Injection
- Accessibility scope
- Remote
- Impact
- Arbitrary Code Execution
- Fixed by upgrading
- Yes
Solution
Update to IBM Resilient OnPrem version 38.3 or higher
Vulnerable code sample
import subprocess
def execute_command(command):
"""Vulnerable function that demonstrates the security issue."""
result = subprocess.run(command, shell=True, check=True, capture_output=True, text=True)
return result.stdout
user_input = "ls -l; rm -rf /"
output = execute_command(user_input)
print(output)Patched code sample
import subprocess
BLACKLIST = ["rm", "shutdown", "reboot", "format", "reboot", "dd", "mkfs", "chmod", "chown"]
def execute_command(command):
"""Secure function that fixes the vulnerability."""
command_list = command.split()
if any(blacklisted in command_list for blacklisted in BLACKLIST):
return "Error: Command contains blacklisted keywords."
try:
result = subprocess.run(command_list, check=True, capture_output=True, text=True)
return result.stdout
except subprocess.CalledProcessError as e:
return f"Error: {e.stderr}"
user_input = "ls -l; rm -rf /"
output = execute_command(user_input)
print(output)Cite this entry
@misc{vaitp:cve20204636,
title = {{Command injection in IBM Resilient OnPrem 38.2 via Python3 scripting}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2020},
note = {VAITP Python Vulnerability Dataset, entry CVE-2020-4636},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2020-4636/}}
}
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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