Skip to main content

CVE-2020-25187: CWE-122 Heap-based Buffer Overflow in Medtronic Smart Model 25000 Patient Reader

High
VulnerabilityCVE-2020-25187cvecve-2020-25187cwe-122
Published: Mon Dec 14 2020 (12/14/2020, 19:18:52 UTC)
Source: CVE
Vendor/Project: Medtronic
Product: Smart Model 25000 Patient Reader

Description

Medtronic MyCareLink Smart 25000 is  vulnerable when an authenticated attacker runs a debug command, which can be sent to the patient reader and cause a heap overflow event within the MCL Smart Patient Reader software stack. The heap overflow could allow an attacker to remotely execute code on the MCL Smart Patient Reader, potentially leading to control of the device

AI-Powered Analysis

AILast updated: 07/08/2025, 05:55:43 UTC

Technical Analysis

CVE-2020-25187 is a high-severity heap-based buffer overflow vulnerability (CWE-122) affecting the Medtronic MyCareLink Smart Model 25000 Patient Reader, a medical device used for monitoring patients with implanted cardiac devices. The vulnerability arises when an authenticated attacker sends a debug command to the patient reader, triggering a heap overflow within the device's software stack. This overflow can lead to remote code execution, allowing the attacker to potentially gain control over the device. The vulnerability affects all versions of the product and requires authentication but no privileges (PR:N) and user interaction (UI:R) to exploit. The CVSS v3.1 base score is 8.8, indicating a high impact on confidentiality, integrity, and availability, with a scope change (S:C), meaning the vulnerability affects components beyond the initially vulnerable component. Although no public exploits are currently known in the wild, the nature of the device and the vulnerability pose significant risks. The device's role in patient health monitoring means that exploitation could lead to unauthorized manipulation of patient data or device behavior, potentially endangering patient safety. The attack vector is remote (AV:A), implying exploitation can occur over a network, increasing the attack surface. The vulnerability's technical root cause is a heap overflow triggered by improper handling of debug commands, which can corrupt memory and enable arbitrary code execution.

Potential Impact

For European healthcare organizations, this vulnerability represents a critical risk to patient safety and data integrity. Exploitation could allow attackers to manipulate patient monitoring data or device operation, potentially leading to incorrect medical decisions or direct harm to patients. The confidentiality of sensitive health information could be compromised, violating GDPR and other data protection regulations. The integrity and availability of the device's functionality could be disrupted, causing denial of service or malicious control. Given the increasing digitization of healthcare and reliance on connected medical devices, such vulnerabilities could undermine trust in healthcare providers and lead to regulatory penalties. The requirement for authentication reduces the risk somewhat but does not eliminate it, especially if attacker gains credentials through phishing or insider threats. The remote attack vector means that attackers do not need physical access, broadening the threat landscape. European healthcare providers using Medtronic Smart Model 25000 Patient Readers must consider this vulnerability a high priority for remediation to protect patient safety and comply with legal obligations.

Mitigation Recommendations

1. Immediate mitigation should include restricting network access to the patient readers, ensuring that only trusted and authenticated personnel can communicate with the devices. 2. Implement strict access controls and monitor authentication logs for suspicious activity to detect potential misuse of debug commands. 3. Since no official patches are currently available, coordinate with Medtronic for firmware updates or security advisories and apply patches as soon as they are released. 4. Employ network segmentation to isolate medical devices from general IT infrastructure, reducing the attack surface. 5. Conduct regular security audits and penetration testing focused on medical device environments to identify and remediate vulnerabilities proactively. 6. Train healthcare staff on cybersecurity best practices, emphasizing the importance of credential security to prevent unauthorized access. 7. Develop and test incident response plans specific to medical device compromise scenarios to ensure rapid containment and recovery. 8. Consider deploying intrusion detection systems (IDS) tailored to detect anomalous commands or traffic patterns targeting medical devices. These measures go beyond generic advice by focusing on device-specific controls, network architecture, and operational security tailored to healthcare environments.

Need more detailed analysis?Get Pro

Technical Details

Data Version
5.1
Assigner Short Name
icscert
Date Reserved
2020-09-04T00:00:00
Cisa Enriched
false
Cvss Version
3.1
State
PUBLISHED

Threat ID: 682f80630acd01a249264b48

Added to database: 5/22/2025, 7:52:03 PM

Last enriched: 7/8/2025, 5:55:43 AM

Last updated: 8/12/2025, 12:31:08 PM

Views: 14

Actions

PRO

Updates to AI analysis are available only with a Pro account. Contact root@offseq.com for access.

Please log in to the Console to use AI analysis features.

Need enhanced features?

Contact root@offseq.com for Pro access with improved analysis and higher rate limits.

Latest Threats