CVE-2025-53853
CVE-2025-53853
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
A heap-based buffer overflow vulnerability exists in the ISHNE parsing functionality of The Biosig Project libbiosig 3.9.0 and Master Branch (35a819fa). A specially crafted ISHNE ECG annotations file can lead to arbitrary code execution. An attacker can provide a malicious file to trigger this vulnerability.
Comprehensive Technical Analysis of CVE-2025-53853
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2025-53853 CVSS Score: 9.8
The vulnerability in question is a heap-based buffer overflow in the ISHNE parsing functionality of The Biosig Project's libbiosig library, versions 3.9.0 and the Master Branch (commit 35a819fa). This vulnerability allows an attacker to execute arbitrary code by providing a specially crafted ISHNE ECG annotations file.
Severity Evaluation:
- CVSS Score: 9.8 (Critical)
- Impact: Arbitrary code execution
- Exploitability: High, as it requires only a malicious file to be processed
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Malicious File Upload: An attacker could upload a specially crafted ISHNE ECG annotations file to a system that processes these files using the vulnerable libbiosig library.
- Phishing: An attacker could send a malicious file via email or other communication channels, enticing the recipient to open it with a vulnerable application.
- Supply Chain Attack: An attacker could compromise a third-party service or software that uses the vulnerable library, thereby affecting downstream users.
Exploitation Methods:
- Heap-Based Buffer Overflow: The attacker exploits the buffer overflow by sending a file that overwrites adjacent memory, leading to code execution.
- Remote Code Execution (RCE): By carefully crafting the payload, the attacker can execute arbitrary code on the target system.
3. Affected Systems and Software Versions
Affected Software:
- The Biosig Project libbiosig 3.9.0
- The Biosig Project libbiosig Master Branch (commit 35a819fa)
Affected Systems:
- Any system or application that uses the vulnerable versions of libbiosig to process ISHNE ECG annotations files.
- This includes medical research software, ECG analysis tools, and any other applications that rely on libbiosig for ISHNE parsing.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Patching: Upgrade to a patched version of libbiosig as soon as it becomes available.
- Input Validation: Implement strict input validation for ISHNE ECG annotations files to prevent malicious files from being processed.
- Sandboxing: Run the vulnerable application in a sandboxed environment to limit the impact of a successful exploit.
Long-Term Mitigation:
- Code Review: Conduct a thorough code review of the ISHNE parsing functionality to identify and fix similar vulnerabilities.
- Fuzz Testing: Implement fuzz testing to discover and address other potential buffer overflow vulnerabilities.
- Security Training: Educate developers and users about the risks associated with processing untrusted files.
5. Impact on Cybersecurity Landscape
Immediate Impact:
- Critical Systems at Risk: Medical and research institutions using the vulnerable library are at high risk of compromise.
- Data Integrity: Compromised systems could lead to data corruption or unauthorized access to sensitive medical data.
Long-Term Impact:
- Increased Awareness: This vulnerability highlights the importance of securing medical software and the need for robust input validation.
- Supply Chain Security: Emphasizes the need for secure software development practices and regular audits of third-party libraries.
6. Technical Details for Security Professionals
Vulnerability Details:
- Heap-Based Buffer Overflow: The vulnerability occurs when the ISHNE parsing functionality fails to properly validate the size of input data, leading to a buffer overflow.
- Exploitation: The overflow allows an attacker to overwrite adjacent memory, potentially leading to code execution.
Detection and Response:
- Intrusion Detection Systems (IDS): Implement IDS rules to detect anomalous file processing activities.
- Logging and Monitoring: Enhance logging and monitoring to detect and respond to suspicious file processing activities.
- Incident Response: Develop an incident response plan specific to buffer overflow vulnerabilities in medical software.
Conclusion: CVE-2025-53853 represents a critical vulnerability that requires immediate attention from cybersecurity professionals. Mitigation strategies should focus on patching, input validation, and long-term security improvements. The impact on the cybersecurity landscape underscores the need for robust security practices in medical and research software development.
References:
This analysis provides a comprehensive overview for cybersecurity experts to understand and address the vulnerability effectively.