CVE-2024-10371: Payroll Management System Buffer Overflow

CVE-2024-10371 Overview

A critical buffer overflow vulnerability has been discovered in SourceCodester Payroll Management System version 1.0. This vulnerability affects the login function within the main file, allowing attackers to exploit improper buffer boundary handling. The exploit has been publicly disclosed, increasing the risk of active exploitation in the wild.

Critical Impact

Buffer overflow in the login function can lead to unauthorized access, potential code execution, and system compromise through adjacent network access.

Affected Products

• SourceCodester Payroll Management System 1.0
• Razormist Payroll Management System 1.0

Discovery Timeline

• 2024-10-25 - CVE CVE-2024-10371 published to NVD
• 2024-10-30 - Last updated in NVD database

Technical Details for CVE-2024-10371

Vulnerability Analysis

This vulnerability is classified as CWE-120 (Buffer Copy without Checking Size of Input), commonly known as a classic buffer overflow. The vulnerable login function in the main file fails to properly validate the size of user-supplied input before copying it into a fixed-size buffer. When an attacker provides input that exceeds the allocated buffer size, the excess data overwrites adjacent memory regions.

The attack requires access from an adjacent network, meaning the attacker must be on the same network segment as the target system. This limits the attack surface compared to internet-facing vulnerabilities but still presents significant risk in enterprise environments where payroll systems are typically accessible across internal networks.

Root Cause

The root cause of this vulnerability lies in the absence of proper bounds checking within the login function. The application uses unsafe buffer copy operations without validating that the input length does not exceed the destination buffer's capacity. This programming error is characteristic of legacy C/C++ code that relies on functions like strcpy() or gets() without implementing appropriate size restrictions.

Attack Vector

The vulnerability is exploitable through the adjacent network attack vector. An attacker positioned on the same local network as the vulnerable payroll system can craft malicious input to the login function that overflows the buffer. Successful exploitation could allow the attacker to:

• Overwrite critical memory structures including return addresses
• Potentially achieve code execution by redirecting program flow
• Cause denial of service through application crashes
• Bypass authentication mechanisms by corrupting memory state

The attack does not require any privileges or user interaction, making it particularly dangerous in shared network environments. The vulnerability affects confidentiality, integrity, and availability at a limited scope.

Additional technical details and discussion can be found in the GitHub CVE Issue Discussion and the VulDB CTI Report #281763.

Detection Methods for CVE-2024-10371

Indicators of Compromise

• Unexpected crashes or restarts of the Payroll Management System application
• Anomalous login attempts with unusually long username or password fields
• Memory access violation errors in application logs
• Unusual network traffic patterns to the payroll system from internal network segments

Detection Strategies

• Implement network intrusion detection signatures for abnormally large login request payloads
• Monitor application logs for buffer overflow indicators such as segmentation faults or access violations
• Deploy endpoint detection solutions capable of identifying memory corruption attacks
• Use application-level monitoring to detect login requests exceeding expected input lengths

Monitoring Recommendations

• Enable verbose logging on the Payroll Management System to capture authentication events
• Configure network monitoring tools to alert on traffic anomalies to internal payroll servers
• Implement file integrity monitoring on the payroll application binaries
• Establish baseline metrics for normal application memory usage to detect exploitation attempts

How to Mitigate CVE-2024-10371

Immediate Actions Required

• Restrict network access to the Payroll Management System to authorized users only
• Implement network segmentation to isolate the payroll system from general network access
• Deploy a web application firewall or network filter to validate input lengths before reaching the application
• Consider taking the system offline if it processes sensitive data until a patch is available

Patch Information

No official patch information has been released by the vendor at this time. Organizations should monitor the SourceCodester website for security updates. Given that the exploit has been publicly disclosed, implementing compensating controls is critical while awaiting vendor remediation.

For additional vulnerability details, refer to the VulDB #281763 entry and the VulDB Submission #430175.

Workarounds

• Implement input validation at the network perimeter to reject login requests with excessively long fields
• Deploy intrusion prevention systems configured to detect and block buffer overflow attack patterns
• Use application whitelisting to prevent unauthorized code execution
• Consider migrating to an alternative payroll management solution that receives active security support

# Network access restriction example using iptables
# Limit access to payroll system (port 80/443) to specific management VLAN
iptables -A INPUT -p tcp --dport 80 -s 192.168.10.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 443 -s 192.168.10.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 80 -j DROP
iptables -A INPUT -p tcp --dport 443 -j DROP