A vulnerability has been found in the CPython `venv` module and CLI where path names provided when creating a virtual environment were not quoted properly. This allows the creator to inject commands into virtual environment "activation" scripts (i.e., "source venv/bin/activate"). This means that attacker-controlled virtual environments are able to run commands when the virtual environment is activated. Virtual environments which are not created by an attacker or which aren't activated before being used (i.e., "./venv/bin/python") are not affected.
With a CVSS score of 5.3, this medium-severity vulnerability poses a risk to organizations using Python. The exploitability of this vulnerability is classified as medium due to the need for high privileges and user interaction. The impact on confidentiality, integrity, and availability is significant, making it crucial for organizations to assess their exposure.
Organizations should prioritize patching immediately. Although no public exploit is confirmed, the potential for command injection presents a real risk, especially in environments where Python is utilized extensively.
Given the widespread use of Python, particularly in development environments, quick remediation steps must be taken to prevent potential exploitation.
Vulnerability Details
The vulnerability allows for command injection in the `venv` module, which is critical for creating isolated Python environments. The official CVE description notes that path names provided during virtual environment creation were not properly quoted, allowing for the injection of arbitrary commands.
The vulnerability affects all versions of the Python component prior to the patched versions. The CVSS score of 5.3 indicates a medium severity level, which requires attention but not immediate panic.
The CWE classifications include CWE-428 (Unquoted Search Path or Element) and CWE-77 (Command Injection), further emphasizing the potential risks associated with this vulnerability.
Technical Analysis
The root cause of this vulnerability relates to the improper handling of user-supplied input in the `venv` module. The attack vector is local, requiring the attacker to have high privileges and user interaction to activate the virtual environment. This low attack complexity, combined with the necessity for active user engagement, makes it a significant concern for developers and system administrators.
The vulnerability's impact on confidentiality and integrity is high, as it could lead to unauthorized command execution within the context of the activated virtual environment. However, availability is not impacted, as the vulnerability does not disrupt the execution of Python itself.
Risk & Impact Analysis
Risk to organizations includes potential unauthorized command execution within Python environments, leading to data compromise or system manipulation. The blast radius could be extensive, particularly in environments where multiple developers utilize shared virtual environments. Organizations should assess their use of Python and the potential risks associated with this vulnerability.
Given the CVSS score and potential for exploitation, organizations should address this vulnerability in their priority patch cycle. The need for immediate action is underscored by the ease with which attackers may exploit this flaw in environments where Python is prevalent.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
All versions of Python prior to the patch are affected, specifically versions below 3.9.21, 3.10.16, 3.11.11, 3.12.8, and 3.13.1. Additionally, version 3.14.0:alpha1 is also vulnerable.
Mitigation & Remediation
Organizations should update to the latest version of Python to eliminate the risk associated with this vulnerability. If immediate patching is not feasible, consider implementing workarounds such as restricting access to affected virtual environments and educating users about the risks of activating untrusted environments.
In addition, organizations should consider implementing network controls to monitor Python execution environments and look for unusual activation behavior. Regular audits of virtual environments should also be part of a comprehensive security strategy.
For further guidance, organizations may refer to resources on application security assessment and penetration testing to validate security measures.
Detection Guidance
Organizations should monitor logs for any unusual commands executed within Python virtual environments. Behavioral anomalies during the activation of virtual environments should also be investigated. Implement signatures that can detect unauthorized command executions within activated environments.
AppSecure Threat Intelligence Insight
This vulnerability highlights the importance of secure coding practices in Python development. Organizations must ensure that input validation is robust to prevent command injection vulnerabilities. Regular training and awareness programs for developers can mitigate risks associated with similar vulnerabilities.
In addition, security teams should analyze the patterns of vulnerabilities like this to improve their defensive strategies. Organizations are encouraged to continuously assess and update security measures to address emerging threats.
For more comprehensive insights and strategies, organizations may refer to our articles on penetration testing methodology and vulnerability management program design to enhance their security posture.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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