CVE-2019-17206 in rediswrapper
Summary
by MITRE
Uncontrolled deserialization of a pickled object in models.py in Frost Ming rediswrapper (aka Redis Wrapper) before 0.3.0 allows attackers to execute arbitrary scripts.
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Analysis
by VulDB Data Team • 01/03/2024
The vulnerability identified as CVE-2019-17206 represents a critical security flaw in the rediswrapper library developed by Frost Ming, affecting versions prior to 0.3.0. This issue stems from uncontrolled deserialization of pickled objects within the models.py file, creating a significant attack surface that can be exploited by malicious actors to execute arbitrary code on affected systems. The flaw exists in the library's handling of serialized data structures, specifically when processing pickled objects that are typically used for data persistence and inter-process communication in python applications.
The technical implementation of this vulnerability occurs when the rediswrapper library processes serialized data objects that have been pickled using python's pickle module. When an attacker can influence the input to the deserialization process, they can craft malicious pickle data that, when loaded by the library, executes arbitrary commands on the target system. This type of vulnerability falls under the category of deserialization attacks that are particularly dangerous because they can lead to remote code execution without requiring authentication or specific user interaction. The CWE-502 identifier applies here as this represents an "Deserialization of Untrusted Data" vulnerability, where the application deserializes data from an untrusted source without proper validation or sanitization.
From an operational perspective, this vulnerability poses a severe risk to systems that utilize the rediswrapper library for redis database interactions. Attackers can exploit this flaw to gain full control over affected systems, potentially leading to data breaches, system compromise, or further lateral movement within network environments. The impact extends beyond individual system compromise as attackers could use this vulnerability to establish persistent access, exfiltrate sensitive data, or deploy additional malicious payloads. The attack vector requires the attacker to have the ability to inject malicious pickle data into the application's data flow, which could occur through various means including compromised user input, manipulated configuration files, or intercepted network communications.
The remediation strategy for CVE-2019-17206 involves upgrading to rediswrapper version 0.3.0 or later, which contains the necessary fixes to prevent uncontrolled deserialization of pickle objects. Organizations should conduct comprehensive vulnerability assessments to identify all systems utilizing affected versions of the library and implement immediate patching procedures. Additionally, security teams should review their application code for similar patterns of unsafe deserialization and implement proper input validation, use of safer serialization formats such as json instead of pickle, and consider implementing application whitelisting or sandboxing techniques. The ATT&CK framework categorizes this vulnerability under T1059.001 "Command and Scripting Interpreter: Python" as it enables attackers to execute python commands, and T1210 "Exploitation of Remote Services" as it represents a remote code execution vulnerability in a network service component. Organizations should also implement network segmentation and monitoring to detect potential exploitation attempts and ensure that all dependencies are regularly updated and patched according to established security protocols.