CVE-2026-115330 in Lotus
Summary
by MITRE • 10/23/2026
Lotus through 0.10.2 contains an sql injection vulnerability that allows authenticated organization users to execute arbitrary SQL by appending stacked statements to custom metric queries. Attackers can submit semicolon-separated SQL through POST /app/metrics/, bypassing first-statement-only validation, to read or modify data across all tenants.
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Analysis
by VulDB Data Team • 10/23/2026
The identified vulnerability in Lotus versions up to 0.10.2 represents a critical security flaw classified as an SQL injection, specifically falling under the Common Weakness Enumeration category CWE-89 for improper neutralization of special elements used in an SQL command. This weakness is particularly severe because it affects authenticated organization users rather than unauthenticated attackers, yet it allows for cross-tenant data access and modification. The core technical flaw lies in how the application processes custom metric queries submitted via the POST /app/metrics/ endpoint. While the system implements a validation mechanism intended to restrict input to only the first SQL statement, this check is bypassed by appending stacked statements using semicolons. This technique exploits the fact that many database engines allow multiple commands to be executed in sequence within a single query string if properly delimited, thereby circumventing the application's logic which likely parses or validates only the initial segment of the input before execution.
From an operational perspective, this vulnerability poses a significant risk to data integrity and confidentiality across multi-tenant environments. Because authenticated users can inject arbitrary SQL commands that are executed by the database backend, they gain the ability to read sensitive information from other tenants' databases, effectively breaking the isolation boundaries intended in the architecture. Furthermore, the capability to modify data means an attacker could alter records, delete critical entries, or potentially escalate privileges depending on the permissions granted to the application's database user account. This aligns with MITRE ATT&CK technique T1059.004, which covers SQL injection as a method for command and control or data exfiltration within enterprise networks. The ability to execute stacked statements significantly expands the attack surface beyond simple data retrieval, potentially allowing for destructive actions such as dropping tables or modifying system configurations if the underlying database permissions are not strictly limited.
Mitigation strategies must address both immediate remediation and long-term architectural improvements. The most direct fix is to sanitize input at the POST /app/metrics/ endpoint by either rejecting any input containing semicolons or other statement-terminating characters, ensuring that only single-statement queries are processed as originally intended. However, a more robust solution involves refactoring the code to use parameterized queries or prepared statements for all database interactions involving user-supplied data. This approach ensures that user input is treated strictly as data rather than executable code, rendering injection attempts ineffective regardless of special characters present in the payload. Additionally, implementing strict role-based access control and ensuring that the application's database account operates with minimal privileges can limit the potential impact if a vulnerability were to be exploited. Regular security audits and static analysis tools should also be employed to detect similar patterns elsewhere in the codebase where dynamic SQL construction might occur without adequate safeguards.