CVE-2025-56816
Unknown Unknown - Not Provided
BaseFortify

Publication date: 2025-09-24

Last updated on: 2025-10-10

Assigner: MITRE

Description
Datart 1.0.0-rc.3 is vulnerable to Directory Traversal. The configuration file handling of the application allows attackers to upload arbitrary YAML files to the config/jdbc-driver-ext.yml path. The application parses this file using SnakeYAML's unsafe load() or loadAs() method without input sanitization. This allows deserialization of attacker-controlled YAML content, leading to arbitrary class instantiation. Under certain conditions, this can be exploited to achieve remote code execution (RCE).
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Meta Information
Published
2025-09-24
Last Modified
2025-10-10
Generated
2026-05-07
AI Q&A
2025-09-24
EPSS Evaluated
2026-05-05
NVD
EUVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
running-elephant datart 1.0.0
Helpful Resources
Exploitability
CWE
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KEV
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CWE ID Description
CWE-502 The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
CWE-22 The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.
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AI Powered Q&A
Can you explain this vulnerability to me?

Datart 1.0.0-rc.3 has a Directory Traversal vulnerability where attackers can upload arbitrary YAML files to a specific configuration path. The application uses SnakeYAML's unsafe load() or loadAs() methods to parse these files without sanitizing the input, allowing attackers to instantiate arbitrary classes through deserialization. This can potentially lead to remote code execution.


How can this vulnerability impact me? :

This vulnerability can allow attackers to execute arbitrary code remotely on the affected system by exploiting unsafe YAML deserialization. This can lead to full system compromise, data theft, or disruption of services.


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