CVE-2026-55633 in DataEase
Summary
by MITRE • 07/08/2026
DataEase is an open source data visualization and analysis tool. Prior to 2.10.24, a bypass of the H2 zip protocol and file dropper fix allows an authenticated attacker to upload a zip archive disguised with a .ttf extension through FontManage.saveFile and then exploit it through the zip protocol to achieve remote code execution. This issue is fixed in version 2.10.24.
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Analysis
by VulDB Data Team • 07/08/2026
The DataEase data visualization platform presents a critical security vulnerability that demonstrates how seemingly innocuous file upload mechanisms can be exploited to achieve remote code execution. This vulnerability affects versions prior to 2.10.24 and stems from inadequate validation of file extensions and content within the FontManage.saveFile functionality. The flaw represents a sophisticated bypass of security controls designed to prevent malicious file uploads, specifically targeting the H2 database's zip protocol handling mechanism.
The technical exploitation pathway involves an authenticated attacker leveraging a carefully crafted file upload attack that disguises malicious code within what appears to be a legitimate font file. By naming a malicious archive with a .ttf extension while maintaining its actual zip format, the vulnerability allows execution of arbitrary code through the H2 database's zip protocol processing capabilities. This technique exploits the trust placed in file extension validation and demonstrates how attackers can circumvent basic security controls that rely solely on filename extensions rather than content inspection.
The operational impact of this vulnerability extends beyond simple privilege escalation as it provides attackers with persistent remote code execution capabilities within the DataEase environment. The authenticated nature of the attack means that an attacker must first obtain valid credentials, but once achieved, they can execute arbitrary commands on the server hosting the DataEase application. This creates significant risk for organizations relying on the platform for data analysis and visualization, as it could lead to complete system compromise, data exfiltration, or further lateral movement within the network infrastructure.
Security controls around file upload mechanisms should follow established best practices including content type validation, file extension whitelisting, and implementation of multiple verification layers. The vulnerability aligns with CWE-434 which describes insecure file upload vulnerabilities where applications fail to properly validate file types and content. Organizations should implement comprehensive mitigation strategies including strict file validation, sandboxed execution environments, and network segmentation to limit the potential impact of such attacks. Additionally, the fix implemented in version 2.10.24 demonstrates the importance of proper protocol handling and validation of archive contents within database systems.
The attack vector represents a sophisticated approach that combines social engineering with technical exploitation by using legitimate file extensions to bypass security controls. This type of vulnerability commonly maps to ATT&CK technique T1059 which describes executing malicious code through command and scripting interpreters, and T1074 which covers data staging through various methods including file uploads. Organizations should conduct thorough security assessments of their data visualization platforms and ensure all components are updated to the latest secure versions to prevent exploitation of similar vulnerabilities in their infrastructure.