VAITP Dataset

← Back to the dataset

CVE-2019-16729

Pam-python < 1.0.7-1 local root escalation via PAM configurations

  • CVSS 7.8
  • CWE-269: Improper Privilege Management
  • Cryptographic
  • Local

pam-python before 1.0.7-1 has an issue in regard to the default environment variable handling of Python, which could allow for local root escalation in certain PAM setups.

CVSS base score
7.8
Published
2019-09-24
OWASP
A05 Security Misconfiguration
Orthogonal defect classification
Function
Code defect classification
Incorrect Functionality
Category
Cryptographic
Subcategory
Unencrypted communication
Accessibility scope
Local
Impact
Privilege Escalation
Fixed by upgrading
Yes

Solution

Update pam-python to version 1.0.7-1 or higher.

Vulnerable code sample

import os

def pam_python():
    print("Executing PAM operations with potentially unsafe environment.")

    os.system("whoami")

if __name__ == "__main__":
    pam_python()

Patched code sample

import os
import pwd
import sys

def pam_python():
    for var in ['PYTHONPATH', 'PYTHONHOME']:
        if var in os.environ:
            del os.environ[var]

    if os.geteuid() == 0:
        username = sys.argv[1] if len(sys.argv) > 1 else 'nobody'
        user_info = pwd.getpwnam(username)
        os.setuid(user_info.pw_uid)

        print("PAM operations executed securely.")
    else:
        print("This script must be run as root.")

if __name__ == "__main__":
    pam_python()

Cite this entry

@misc{vaitp:cve201916729,
  title        = {{Pam-python < 1.0.7-1 local root escalation via PAM configurations}},
  author       = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
  year         = {2019},
  note         = {VAITP Python Vulnerability Dataset, entry CVE-2019-16729},
  howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2019-16729/}}
}
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.

The supreme art of war is to subdue the enemy without fighting.

Sun Tzu – “The Art of War”

:: Shaping the future through research and ingenuity ::