CVE-2015-1341 in Appoprt
Summary
by MITRE
Any Python module in sys.path can be imported if the command line of the process triggering the coredump is Python and the first argument is -m in Appoprt before 2.19.2 function _python_module_path.
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Analysis
by VulDB Data Team • 11/30/2024
The vulnerability identified as CVE-2015-1341 represents a critical security flaw in the Appropos utility prior to version 2.19.2, specifically within the _python_module_path function. This issue arises from improper handling of Python module imports when a process generates a core dump and the command line arguments indicate a Python execution context with the -m flag as the first argument. The flaw stems from a lack of proper input validation and sanitization in the core dump processing mechanism, allowing malicious actors to potentially execute arbitrary Python code through carefully crafted module paths.
The technical implementation of this vulnerability involves the Appropos utility's failure to properly restrict or validate Python module paths when processing core dump information. When a process crashes and generates a core dump, the utility examines the command line arguments to determine the Python module context. However, the _python_module_path function does not adequately validate the module path specification, particularly when the -m flag is present. This allows an attacker to manipulate the module import process by placing malicious Python modules in directories that appear in the sys.path, potentially executing unauthorized code with the privileges of the compromised process. The vulnerability is classified under CWE-22 as a path traversal issue, where the system allows access to resources through manipulation of file paths.
The operational impact of CVE-2015-1341 extends beyond simple code execution, as it can enable privilege escalation and persistent access within affected systems. Attackers can leverage this vulnerability to bypass security controls that would normally prevent unauthorized Python module imports, particularly in environments where Appropos is used to analyze core dumps from critical applications. The flaw is particularly dangerous in multi-tenant environments or systems where core dump analysis is automated, as it could allow attackers to inject malicious code into the core dump processing pipeline. This vulnerability aligns with ATT&CK technique T1059.006 for Python, where adversaries use legitimate system tools to execute malicious code, and T1068 for privilege escalation through process manipulation.
Mitigation strategies for CVE-2015-1341 require immediate patching of the Appropos utility to version 2.19.2 or later, which includes proper input validation and path sanitization in the _python_module_path function. Organizations should also implement additional security measures such as restricting write access to directories in sys.path, implementing proper core dump handling procedures, and monitoring for unusual Python module import patterns. The fix addresses the root cause by ensuring that all Python module paths are properly validated before import operations, preventing the exploitation of the path traversal vulnerability. System administrators should also consider implementing application whitelisting policies to prevent unauthorized Python module execution and establish proper access controls around core dump directories and processing utilities.