CVE-2024-36268 in InLong TubeMQ Client
Summary
by MITRE • 08/02/2024
Improper Control of Generation of Code ('Code Injection') vulnerability in Apache InLong.
This issue affects Apache InLong: from 1.10.0 through 1.12.0, which could lead to Remote Code Execution. Users are advised to upgrade to Apache InLong's 1.13.0 or cherry-pick [1] to solve it.
[1] https://github.com/apache/inlong/pull/10251
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Analysis
by VulDB Data Team • 08/28/2024
The CVE-2024-36268 vulnerability represents a critical code injection flaw within Apache InLong, a distributed data processing platform designed for large-scale data ingestion and processing. This vulnerability falls under the CWE-94 category of "Improper Control of Generation of Code" which specifically addresses situations where user-supplied input is improperly handled during code generation or execution, creating opportunities for malicious code injection. The affected versions span from 1.10.0 through 1.12.0, indicating a substantial release window where systems could be exposed to remote code execution attacks. Apache InLong's architecture processes data streams through various components including data sources, data processors, and data sinks, making this vulnerability particularly dangerous as it could potentially compromise the entire data pipeline infrastructure.
The technical flaw manifests when the system fails to properly sanitize or validate user input that is subsequently used in code generation contexts. This typically occurs in scenarios where user-provided parameters are directly incorporated into dynamic code execution flows without adequate input validation or escaping mechanisms. Attackers could exploit this weakness by crafting malicious input that, when processed by the system, results in unintended code execution on the target server. The vulnerability's remote execution capability means that attackers do not need physical access to the system, as they can trigger the malicious code injection through network-based interactions with the vulnerable Apache InLong service. This represents a severe operational risk as it could allow attackers to execute arbitrary commands, potentially leading to full system compromise, data exfiltration, or service disruption.
The operational impact of CVE-2024-36268 extends beyond immediate exploitation capabilities to encompass broader security implications for data processing environments. Organizations relying on Apache InLong for critical data workflows face potential exposure to unauthorized access and data manipulation, particularly in environments where sensitive data is processed through these pipelines. The vulnerability's presence in multiple versions suggests that many deployments may be at risk, requiring immediate attention from security teams responsible for maintaining data processing infrastructure. Given that InLong is designed for large-scale data ingestion and processing, a successful exploitation could provide attackers with access to substantial data sets, potentially including personally identifiable information or other sensitive business data. The remote code execution capability also means that attackers could use the compromised system as a pivot point for further attacks within the network infrastructure.
The recommended mitigation strategy involves upgrading to Apache InLong version 1.13.0, which includes the necessary patches to address the code injection vulnerability. Organizations should also consider implementing the cherry-pick solution referenced in the advisory, specifically pull request #10251 from the Apache InLong repository, which provides targeted fixes for systems that cannot immediately upgrade to the latest version. Security teams should conduct comprehensive vulnerability assessments to identify all systems running affected versions and prioritize remediation efforts based on risk exposure. Additional defensive measures include implementing network segmentation to limit access to InLong services, deploying intrusion detection systems to monitor for suspicious activity, and establishing robust input validation processes for all user-facing interfaces. The vulnerability also highlights the importance of adhering to secure coding practices and conducting regular security reviews of data processing platforms to prevent similar issues in the future. Organizations should consider implementing automated patch management processes to ensure timely application of security updates and maintain awareness of security advisories related to their data processing infrastructure.