CVE-2024-56333 in onyxia
Summary
by MITRE • 12/20/2024
Onyxia is a web app that aims at being the glue between multiple open source backend technologies to provide a state of art working environment for data scientists. This critical vulnerability allows authenticated users to remotely execute code within the Onyxia-API, leading to potential consequences such as unauthorized access to other user environments and denial of service attacks. This issue has been patched in api versions 4.2.0, 3.1.1, and 2.8.2. Users are advised to upgrade. There are no known workarounds for this vulnerability.
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Analysis
by VulDB Data Team • 12/20/2024
The vulnerability identified as CVE-2024-56333 represents a critical remote code execution flaw within the Onyxia-API component of the Onyxia web application. This platform serves as an integrated environment that connects various open source backend technologies to support data scientists in their analytical work. The vulnerability specifically affects authenticated users who can leverage this flaw to execute arbitrary code on the API server, fundamentally compromising the security posture of the entire system. The issue stems from insufficient input validation and sanitization mechanisms within the API processing pipeline, allowing maliciously crafted requests to bypass security controls and execute unintended operations. Such a vulnerability creates a significant attack surface where an authenticated threat actor can escalate their privileges and gain unauthorized access to other user environments, potentially leading to data exfiltration, system compromise, and disruption of legitimate services. The impact extends beyond individual user accounts to affect the entire collaborative data science platform ecosystem that Onyxia facilitates.
The technical exploitation of this vulnerability demonstrates characteristics consistent with CWE-74 and CWE-94, which relate to injection flaws and code execution vulnerabilities respectively. These weaknesses typically arise from inadequate validation of user-supplied data passed to system functions or APIs without proper sanitization. The ATT&CK framework categorizes this type of vulnerability under T1059.001 - Command and Scripting Interpreter, as attackers can leverage the compromised API to execute system commands directly. The vulnerability's classification as critical indicates that it can be exploited without requiring specialized access conditions, making it particularly dangerous for environments where multiple users interact with shared data science platforms. The patched versions 4.2.0, 3.1.1, and 2.8.2 demonstrate that the developers have addressed the root cause through improved input validation, parameter sanitization, and enhanced API security controls that prevent malicious payloads from being processed as executable code.
The operational impact of CVE-2024-56333 extends far beyond simple code execution capabilities, creating cascading security risks within data science environments where sensitive research data and intellectual property reside. When an authenticated user can execute remote code on the API server, they effectively gain the ability to manipulate the underlying infrastructure, access other users' computational environments, and potentially disrupt services for the entire platform. This vulnerability particularly threatens collaborative research environments where data scientists share resources, compute instances, and development environments. The denial of service aspect of this vulnerability means that attackers can not only access other users' resources but also potentially crash the API service, rendering the entire Onyxia platform unavailable to legitimate users. Organizations relying on this platform face significant risks including unauthorized data access, service disruption, and potential regulatory compliance violations, especially in environments handling sensitive or regulated data. The lack of known workarounds forces administrators to implement immediate upgrades as the primary defense mechanism, as no temporary mitigations can effectively prevent exploitation.
Organizations utilizing Onyxia should prioritize immediate deployment of the patched versions 4.2.0, 3.1.1, or 2.8.2 to remediate CVE-2024-56333. The upgrade process should include comprehensive testing to ensure that existing functionality remains intact while addressing the security vulnerability. Security teams should implement additional monitoring controls to detect potential exploitation attempts, including unusual API request patterns, unexpected code execution, and unauthorized access to user environments. Network segmentation and access controls should be reviewed to limit the blast radius should future vulnerabilities be discovered. The vulnerability highlights the importance of maintaining up-to-date software components, particularly in collaborative platforms where multiple users interact with shared infrastructure. Organizations should also consider implementing automated patch management processes to ensure timely deployment of security updates across their entire software ecosystem, preventing similar vulnerabilities from being exploited in other components of their data science infrastructure.