CVE-2014-8165 in powerpc-utils
Summary
by MITRE
scripts/amsvis/powerpcAMS/amsnet.py in powerpc-utils-python uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object.
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Analysis
by VulDB Data Team • 12/10/2024
The vulnerability identified as CVE-2014-8165 resides within the powerpc-utils-python package, specifically in the amsnet.py script located in the scripts/amsvis/powerpcAMS directory. This flaw represents a critical security weakness that stems from the unsafe usage of Python's pickle module, creating an avenue for remote code execution attacks. The pickle module in Python is designed for serializing and deserializing Python object structures, but when used improperly, it can become a significant security risk as it executes arbitrary code during the deserialization process. The vulnerability manifests when the application processes untrusted data through pickle.loads() or similar deserialization functions without proper input validation or sanitization.
The technical implementation of this vulnerability follows a well-documented pattern where malicious actors can craft specially designed serialized objects that, when processed by the vulnerable application, trigger unintended code execution. This occurs because pickle's deserialization mechanism does not perform adequate security checks to verify the integrity or origin of the serialized data. When the amsnet.py script encounters such malicious input, it automatically invokes the pickle module to deserialize the data, thereby executing the attacker's payload. This type of vulnerability falls under the broader category of insecure deserialization issues that are commonly classified as CWE-502, which specifically addresses the deserialization of untrusted data. The attack vector is particularly dangerous because it enables remote exploitation, meaning an attacker does not need physical access to the system but can leverage network-based attacks to deliver malicious payloads.
The operational impact of CVE-2014-8165 extends beyond simple code execution, as it provides attackers with the capability to gain full control over affected systems. This vulnerability can be exploited to establish persistent backdoors, escalate privileges, or conduct further reconnaissance within the network. The remote nature of the attack means that organizations with exposed services using the vulnerable powerpc-utils-python package are immediately at risk, particularly in environments where network accessibility is not properly restricted. Security professionals should note that this vulnerability aligns with several tactics described in the MITRE ATT&CK framework, specifically covering the execution and privilege escalation phases of an attack lifecycle. The vulnerability can be leveraged as a stepping stone for more sophisticated attacks, potentially leading to data breaches or system compromise across entire network infrastructures. Organizations using this particular Python utility package should consider immediate remediation measures to prevent exploitation.
Mitigation strategies for CVE-2014-8165 focus on eliminating the unsafe pickle usage pattern within the affected application. The most effective approach involves replacing the vulnerable pickle deserialization with safer alternatives such as JSON or XML serialization formats that do not execute arbitrary code during parsing. Security teams should also implement strict input validation and sanitization measures to ensure that any data processed by the application originates from trusted sources. Network segmentation and access controls can provide additional layers of defense by limiting the exposure of vulnerable services to untrusted networks. Regular security audits and code reviews should be conducted to identify similar patterns that may exist elsewhere in the codebase, as this vulnerability type is particularly common in legacy applications that were not originally designed with security considerations in mind. The remediation process should also include updating the powerpc-utils-python package to versions that address this specific vulnerability, as the maintainers have likely implemented proper serialization safeguards in subsequent releases.