CVE-2026-105176 in Drug Recommendation System
Summary
by MITRE • 10/05/2026
A vulnerability was determined in SourceCodester Drug Recommendation System 1.0. Impacted is an unknown function of the file /Admin/edit_class.php. This manipulation of the argument ID causes sql injection. The attack is possible to be carried out remotely. The exploit has been publicly disclosed and may be utilized.
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Analysis
by VulDB Data Team • 10/05/2026
The SourceCodester Drug Recommendation System version 1.0 contains a critical security flaw within its administrative interface, specifically located in the file Admin/edit_class.php. This vulnerability manifests as an SQL injection weakness triggered by improper handling of the ID argument passed to an unknown internal function. The root cause lies in the application's failure to properly sanitize or parameterize user-supplied input before incorporating it into database queries. By manipulating this specific identifier, an attacker can inject malicious SQL commands that are executed directly against the backend database server. This type of flaw is a classic example of CWE-89 Improper Neutralization of Special Elements used in an SQL Command commonly known as SQL Injection which allows attackers to interfere with the queries an application makes to its database.
The operational impact of this vulnerability is severe due to its remote exploitability and public disclosure status. Because the attack vector is network-based, a malicious actor does not require physical access or prior authentication to local system resources if administrative credentials are compromised through other means such as credential stuffing or weak password policies. Once authenticated, an attacker can leverage this SQL injection point to perform unauthorized data manipulation. This includes reading sensitive information stored in the database such as user credentials personal health records associated with drug recommendations and internal configuration details. Furthermore depending on the privileges of the database account used by the web application the attacker may be able to execute administrative operations on the database server potentially leading to full system compromise or denial of service conditions through destructive queries.
From a threat intelligence perspective this vulnerability aligns with ATT&CK technique T1059 Command and Scripting Interpreter specifically SQL commands which are often abused in conjunction with data exfiltration techniques like T1005 Data from Local System the attacker can extract valuable intellectual property or personally identifiable information for further exploitation. The fact that an exploit has been publicly disclosed significantly increases the risk landscape as automated scanning tools and opportunistic attackers frequently target known vulnerable instances of open-source projects hosted on platforms like SourceCodester. Organizations running this specific version must treat it as a high-priority remediation item to prevent potential data breaches or unauthorized access to critical healthcare-related systems.
Mitigation strategies should focus primarily on immediate code-level fixes alongside broader security hygiene improvements. The most effective technical remedy is the implementation of prepared statements with parameterized queries for all database interactions involving user-supplied input particularly within the Admin/edit_class.php file. This ensures that data and SQL logic are treated separately preventing injection attacks regardless of the content provided by the client side developers should also implement strict input validation using allowlists to restrict acceptable characters or formats for the ID field beyond just sanitization which can sometimes be bypassed depending on encoding contexts. Additionally deploying a Web Application Firewall WAF with rules tuned to detect SQL injection patterns can provide an additional layer of defense during remediation efforts while permanent fixes are being developed and deployed regular security audits and penetration testing should be conducted to identify similar flaws across the entire application surface area ensuring long-term resilience against evolving attack vectors