CVE-2026-92927 in Drug Recommendation System
Summary
by MITRE • 09/17/2026
A vulnerability was found in SourceCodester Drug Recommendation System 1.0. This issue affects some unknown processing of the file /db/drug_recommendor.sql. Performing a manipulation results in information disclosure. The attack is possible to be carried out remotely. The exploit has been made public and could be used.
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Analysis
by VulDB Data Team • 09/17/2026
The SourceCodester Drug Recommendation System version 1.0 contains a critical security flaw rooted in the improper handling of database initialization files, specifically targeting the file located at /db/drug_recommendor.sql. This vulnerability falls under the category of information disclosure, where sensitive data is exposed to unauthorized parties due to inadequate access controls or misconfigured server settings. The core technical issue lies in how the application processes this SQL script during its setup or runtime phases. If an attacker can manipulate the request parameters associated with this file path, they may trigger a condition that results in the direct exposure of database contents. This typically occurs when web servers are configured to allow directory listing or when the application fails to restrict access to administrative or configuration files that contain hardcoded credentials, schema definitions, or sensitive patient data logic.
From an operational perspective, this vulnerability poses a severe risk because it allows for remote exploitation without requiring prior authentication in many default configurations. The fact that public exploits are available significantly lowers the barrier to entry for attackers, enabling even those with limited technical expertise to compromise the system. Once exploited, the attacker gains access to potentially sensitive information stored within the database structure or data referenced by the SQL file. In a drug recommendation context, this could include patient health records, medication histories, or proprietary algorithmic logic used for generating recommendations. Such exposure violates fundamental principles of confidentiality and integrity, potentially leading to regulatory non-compliance with standards such as HIPAA in healthcare contexts or GDPR if personal identifiable information is involved.
The technical classification of this flaw aligns closely with CWE-200: Information Exposure, which covers scenarios where sensitive information is disclosed without malicious intent but due to poor security design. Furthermore, the ability to remotely access and manipulate these files relates to ATT&CK technique T1530: Data from Cloud Storage Objects or potentially T1078: Valid Accounts if authentication bypasses are involved in accessing the file path. The presence of a public exploit indicates that this is not merely theoretical but an active threat vector being leveraged in real-world attacks. Organizations relying on open-source projects like SourceCodester must recognize that such software often lacks rigorous security auditing and may contain hardcoded vulnerabilities by design or oversight.
Mitigation strategies for this vulnerability require immediate action to prevent further exploitation. The most effective remediation is the removal of unnecessary files from publicly accessible directories, ensuring that database scripts are stored outside the web root where they cannot be directly requested via HTTP. Additionally, server configurations should be hardened to disable directory listing and restrict access to sensitive file types such as SQL or configuration files using Web Application Firewall rules or specific server block directives in Apache or Nginx. For administrators currently running this version of the software, it is strongly recommended to upgrade to a patched version if available or migrate to a more secure alternative that adheres to modern security standards like OWASP Top 10 guidelines. Regular vulnerability scanning and code reviews should be implemented to detect similar misconfigurations in other components of the application stack before they can be exploited by malicious actors seeking to harvest sensitive data from vulnerable systems.