CVE-2024-5352 in AJ-Report
Summary
by MITRE • 05/26/2024
A vulnerability was found in anji-plus AJ-Report up to 1.4.1. It has been rated as critical. Affected by this issue is the function validationRules of the component com.anjiplus.template.gaea.business.modules.datasetparam.controller.DataSetParamController#verification. The manipulation leads to deserialization. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. The identifier of this vulnerability is VDB-266264.
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Analysis
by VulDB Data Team • 03/01/2025
The vulnerability identified as CVE-2024-5352 represents a critical security flaw in the anji-plus AJ-Report software version 1.4.1 and earlier. This issue resides within the DataSetParamController component, specifically in the validationRules function of the com.anjiplus.template.gaea.business.modules.datasetparam.controller package. The vulnerability has been assigned the VDB-266264 identifier and has been publicly disclosed, indicating that malicious actors may already be leveraging this weakness. The flaw enables remote code execution through deserialization attacks, making it particularly dangerous for web applications that process untrusted input data. The attack vector requires no authentication and can be exploited over the network, presenting a significant risk to organizations using affected versions of this reporting platform.
The technical nature of this vulnerability stems from improper input validation and unsafe deserialization practices within the application's data processing pipeline. When the validationRules function processes incoming data, it fails to adequately sanitize or validate the serialized input parameters, creating an opportunity for attackers to inject malicious serialized objects. This deserialization flaw allows remote attackers to execute arbitrary code on the target system with the privileges of the application server. The vulnerability directly maps to CWE-502 which categorizes deserialization of untrusted data as a critical security weakness. The attack surface is broad since the affected function handles dataset parameter validation, which is likely to receive user input from various application interfaces, making it a prime target for exploitation.
The operational impact of CVE-2024-5352 extends beyond simple data compromise, as successful exploitation could lead to complete system takeover. Organizations running affected versions of AJ-Report face potential data breaches, system hijacking, and unauthorized access to sensitive information. The remote exploit capability means that attackers can target these systems from anywhere on the internet without requiring physical access or prior authentication. This vulnerability particularly affects enterprise reporting systems that handle confidential business data, making it attractive to both financially motivated criminals and nation-state actors. The public disclosure of the exploit increases the likelihood of widespread exploitation across vulnerable installations, as demonstrated by the ATT&CK framework's categorization of such vulnerabilities under initial access and execution tactics.
Organizations should immediately implement multiple layers of mitigation strategies to address this critical vulnerability. The primary recommendation involves upgrading to the latest version of AJ-Report where this vulnerability has been patched and fixed. Until such an upgrade is possible, network segmentation should be implemented to restrict access to the affected application, and firewall rules should be configured to limit external exposure. Input validation should be strengthened at multiple points in the application's data flow, particularly where serialized objects are processed. The implementation of application whitelisting and runtime application self-protection mechanisms can provide additional defense-in-depth measures. Security monitoring should be enhanced to detect anomalous deserialization patterns, and regular security assessments should be conducted to identify other potential vulnerabilities in the application stack. Organizations should also consider implementing intrusion detection systems specifically configured to identify exploitation attempts targeting this type of deserialization vulnerability.