CVE-2022-2666 in Loan Management System
Summary
by MITRE • 01/08/2023
A vulnerability has been found in SourceCodester Loan Management System and classified as critical. This vulnerability affects unknown code of the file login.php. The manipulation of the argument username leads to sql injection. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used. VDB-205618 is the identifier assigned to this vulnerability.
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Analysis
by VulDB Data Team • 11/27/2024
The CVE-2022-2666 vulnerability represents a critical sql injection flaw within the SourceCodester Loan Management System, specifically targeting the login.php file. This vulnerability stems from inadequate input validation and sanitization of user-supplied data, particularly the username parameter. The flaw allows attackers to manipulate the sql query execution by injecting malicious sql code through the username argument, potentially compromising the entire database infrastructure. The vulnerability's classification as critical indicates its severe impact potential, as it could enable unauthorized access to sensitive financial data including user credentials, loan information, and personal identifiers.
The technical exploitation of this vulnerability occurs through remote attack vectors, meaning malicious actors can initiate the sql injection attack without requiring physical access to the system. The attack surface is particularly concerning given that the vulnerability exists in the authentication mechanism, which serves as the primary entry point for system access. When a user submits a username through the login.php interface, the application fails to properly sanitize or escape the input before incorporating it into sql queries. This allows attackers to craft malicious inputs that can manipulate the sql execution flow, potentially leading to data extraction, modification, or deletion. The vulnerability's public disclosure status significantly increases the risk as attackers can readily access documented exploitation techniques and tools.
The operational impact of CVE-2022-2666 extends beyond simple data theft, encompassing potential system compromise and business disruption. Financial institutions relying on such loan management systems face severe consequences including regulatory violations, customer trust erosion, and potential legal liabilities. The sql injection vulnerability could enable attackers to escalate privileges, access administrative interfaces, or even execute arbitrary code on the database server. This scenario aligns with CWE-89 sql injection weakness classification, which is categorized under the Common Weakness Enumeration framework as one of the most prevalent and dangerous web application vulnerabilities. The attack pattern follows typical sql injection techniques documented in the mitre ATT&CK framework under the T1190 exploitation for execution tactic, where adversaries leverage vulnerabilities to gain unauthorized access to systems.
Organizations must implement immediate remediation measures including input validation, parameterized queries, and proper output encoding to address this vulnerability. The fix should involve implementing prepared statements or parameterized queries to ensure user inputs are properly escaped and treated as data rather than executable code. Additionally, web application firewalls and input sanitization mechanisms should be deployed to detect and block malicious sql injection attempts. Regular security audits and penetration testing should be conducted to identify similar vulnerabilities in other system components. The vulnerability's public disclosure status necessitates urgent patching and monitoring activities to prevent exploitation attempts. Security teams should also implement comprehensive logging and monitoring solutions to detect unauthorized access attempts and sql injection activities. Compliance with industry standards including pci dss and iso 27001 becomes critical as organizations must demonstrate adequate protection of sensitive financial data against such known vulnerabilities.