CVE-2025-66043

|
CVE-2025-66043 vulnerability security critical severity CVE database libbiosig buffer overflow MFER parsing arbitrary code execution

Summary

CVE-2025-66043 describes a critical severity vulnerability affecting The Biosig Project's libbiosig 3.9.1. Multiple stack-based buffer overflow vulnerabilities exist within the MFER parsing functionality, potentially allowing an attacker to execute arbitrary code by providing a specially crafted MFER file.

Technical Details

CVE-2025-66043 arises from insufficient bounds checking during the parsing of MFER (Multi-Format EEG/MEG Recording) files within libbiosig 3.9.1. Specifically, when the 'Tag' value within the MFER file is equal to 3, the parsing logic fails to properly validate the size of data being copied into a stack-allocated buffer. This lack of validation allows an attacker to overwrite adjacent memory regions on the stack, leading to a buffer overflow. By carefully crafting the malicious MFER file, an attacker can control the overwritten memory and inject arbitrary code, ultimately achieving remote code execution. The vulnerability is triggered when the vulnerable parsing function is called with a malicious MFER file as input. The root cause lies in the unchecked size of the data being copied, combined with the use of stack-allocated buffers. Exploitation requires the victim application to process the malicious MFER file.

The vulnerability is located in the MFER parsing routines within the libbiosig library. A specially crafted MFER file with a 'Tag' value of 3 can trigger the overflow. The size of the data being copied is not validated against the size of the stack buffer, leading to the overflow when the data exceeds the buffer's capacity. Successful exploitation allows an attacker to overwrite the return address on the stack, redirecting execution flow to attacker-controlled code.

Affected Products and Versions

  • libbiosig_project libbiosig 3.9.1

Impact Assessment

Successful exploitation of CVE-2025-66043 can lead to complete system compromise. An attacker can gain full control over the affected system, allowing them to:

  • Execute arbitrary code with the privileges of the application processing the MFER file.
  • Install malware, including ransomware, keyloggers, and backdoors.
  • Steal sensitive data, such as user credentials, financial information, and intellectual property.
  • Modify system configurations and disrupt normal operations.
  • Launch further attacks against other systems on the network.

Remediation

Immediate Actions

  • Upgrade libbiosig: Upgrade to a patched version of libbiosig that addresses the buffer overflow vulnerabilities. Check the libbiosig project website or vendor for updates.
  • Input Validation: Implement robust input validation on MFER files before processing them. Verify the size and format of data being read from the file to prevent buffer overflows.
  • Monitor Systems: Monitor systems for suspicious activity, such as unexpected process execution or network connections.

Long-term Solutions

  • Secure Coding Practices: Adopt secure coding practices to prevent buffer overflows and other memory corruption vulnerabilities.
  • Fuzzing and Static Analysis: Use fuzzing and static analysis tools to identify potential vulnerabilities in the libbiosig codebase.
  • Address Space Layout Randomization (ASLR): Ensure that ASLR is enabled on systems running libbiosig to make it more difficult for attackers to exploit buffer overflows.
  • Data Execution Prevention (DEP): Ensure that DEP is enabled to prevent the execution of code from data segments.

Detection & Scanning

This vulnerability can be detected by analyzing network traffic for malicious MFER files or by monitoring system logs for signs of exploitation, such as unexpected process crashes or the execution of unauthorized code. Vulnerability scanners can also be used to identify systems running vulnerable versions of libbiosig.

Scan Your Website

Secably AI Scanner can detect this and 50+ other vulnerabilities automatically.

Start Free Scan

Scan Your Website for Vulnerabilities

Discover security issues before attackers do. Our AI-powered scanner checks for the vulnerabilities discussed in this guide and more.

Start Free Scan