CVE-2024-11261 in Student Record Management System
Summary
by MITRE • 11/16/2024
A vulnerability, which was classified as critical, was found in SourceCodester Student Record Management System 1.0. Affected is an unknown function of the file StudentRecordManagementSystem.cpp of the component Number of Students Menu. The manipulation leads to memory corruption. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Analysis
by VulDB Data Team • 11/22/2024
This critical vulnerability in the SourceCodester Student Record Management System version 1.0 represents a significant security risk that stems from improper memory handling within the Number of Students Menu component. The flaw exists within the StudentRecordManagementSystem.cpp file where an unknown function processes user input without adequate bounds checking or memory allocation validation. This memory corruption vulnerability specifically affects the application's ability to safely manage dynamic memory operations, creating potential avenues for arbitrary code execution or system instability. The local attack requirement indicates that exploitation necessitates physical access or administrative privileges on the target system, though this limitation does not diminish the severity of the flaw.
The technical implementation of this vulnerability demonstrates a classic memory safety issue that aligns with common CWE classifications related to buffer overflows and memory corruption patterns. The attack vector involves manipulating input data through the Number of Students Menu interface, which then triggers the vulnerable function in the cpp file. This type of vulnerability falls under the broader category of software security flaws that can enable privilege escalation, denial of service conditions, or potentially full system compromise when combined with other attack techniques. The public disclosure of the exploit means that threat actors can readily leverage this weakness without requiring advanced technical skills or extensive reconnaissance.
The operational impact of this vulnerability extends beyond simple memory corruption, as it creates potential pathways for persistent threats that could compromise the integrity of student records and institutional data. Local exploitation capabilities mean that malicious actors with access to the system can manipulate the application's memory structures to execute unauthorized code or cause system crashes that could disrupt educational services. This vulnerability particularly affects educational institutions that rely on legacy systems for student data management, potentially exposing sensitive personal information and academic records to unauthorized access. The presence of a disclosed exploit increases the risk profile significantly, as it removes the need for custom development and allows for rapid deployment of attacks against unpatched systems.
Mitigation strategies for this vulnerability should prioritize immediate patching of the SourceCodester Student Record Management System to address the memory corruption flaw in the StudentRecordManagementSystem.cpp file. System administrators should implement additional access controls and monitoring to detect unauthorized local access attempts that could lead to exploitation. Network segmentation and principle of least privilege configurations can help limit the potential impact if local exploitation occurs. Regular security assessments of legacy systems and application code reviews should be conducted to identify similar memory safety issues throughout the institutional technology infrastructure. Organizations should also consider implementing application whitelisting policies and runtime protection mechanisms to prevent unauthorized code execution even if the underlying vulnerability cannot be immediately patched. The vulnerability's classification as critical underscores the importance of immediate remediation efforts and comprehensive risk assessment of similar systems within the organization's technology ecosystem.