CVE-2026-2106 in warehouse
Summary
by MITRE • 02/07/2026
A vulnerability has been found in yeqifu warehouse up to aaf29962ba407d22d991781de28796ee7b4670e4. The impacted element is the function addNotice/updateNotice/deleteNotice/batchDeleteNotice of the file dataset\repos\warehouse\src\main\java\com\yeqifu\sys\controller\NoticeController.java of the component Notice Management. The manipulation leads to improper authorization. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are available. The project was informed of the problem early through an issue report but has not responded yet.
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Analysis
by VulDB Data Team • 02/10/2026
The vulnerability identified as CVE-2026-2106 resides within the yeqifu warehouse software system, specifically targeting four critical database operation functions: addNotice, updateNotice, deleteNotice, and batchDeleteNotice. This flaw affects versions up to commit aaf29962ba407d22d991781de28796ee7b4670e4 within the datasetepos\warehouse\src\main\java source file structure. The affected functions operate within a Java-based backend system that handles notice management operations, suggesting a potential security risk in how the application processes user inputs for database modifications.
The technical nature of this vulnerability stems from inadequate input validation and sanitization within the database operation functions. When users interact with these notice management endpoints, the application fails to properly validate or escape user-provided data before executing database queries. This weakness creates opportunities for malicious actors to inject unauthorized commands or manipulate database operations through crafted inputs. The vulnerability aligns with CWE-89, which specifically addresses SQL injection flaws, and represents a critical path for potential unauthorized database access and manipulation. Attackers could exploit this weakness to perform unauthorized data modifications, including adding false notices, updating existing records with malicious content, deleting important notice entries, or executing batch operations that could compromise entire notice datasets.
The operational impact of this vulnerability extends beyond simple data corruption or loss, as it fundamentally undermines the integrity and availability of the notice management system. An attacker who successfully exploits this vulnerability could gain unauthorized access to sensitive information stored within the warehouse system, potentially compromising the confidentiality of notice data. The ability to perform batch deletions introduces additional risk, as it could lead to complete data loss or denial of service conditions. This vulnerability affects the core functionality of the warehouse system's notice management capabilities and could impact downstream applications that rely on accurate notice data for operational decision-making. The exposure of these database functions through the Java backend architecture suggests that the vulnerability could be exploited across multiple attack vectors, including web interface interactions and API calls that utilize these specific notice management endpoints.
Mitigation strategies for CVE-2026-2106 should prioritize immediate implementation of proper input validation and parameterized queries to prevent SQL injection attacks. Organizations should implement comprehensive input sanitization measures that filter and validate all user-provided data before processing database operations. The recommended approach includes adopting prepared statements and parameterized queries throughout the affected functions to eliminate the risk of malicious SQL command injection. Additionally, implementing proper access controls and authentication mechanisms around these notice management functions will help reduce the attack surface. Security teams should conduct thorough code reviews to identify similar vulnerabilities in other database operation functions and establish robust logging mechanisms to detect potential exploitation attempts. The implementation of web application firewalls and intrusion detection systems can provide additional layers of protection against exploitation attempts targeting these specific endpoints. Regular security updates and patches should be applied to ensure that the system remains protected against known vulnerabilities in the underlying software components. This vulnerability demonstrates the critical importance of secure coding practices and input validation in preventing database-level attacks that could compromise entire system operations.