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CVSS: 8.8 CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H 🐛 CWE-122
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2020-25187

CVE-2020-25187 — Medtronic MyCareLink Smart Heap-based Buffer Overflow
📅 PUBLISHED: 2020-12-14 00:00 UTC 🔄 UPDATED: 2026-08-13 10:15 UTC
[ PATCH UNDER REVIEW ↓ ] Remains UNDER REVIEW until an independent source confirms the fix
[ DEFENSE PATCH ↓ ]
💣 PoC: Public
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 3.77%
👁️
3.77% probability
94.2× above the median CVE
Tier: HIGH
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1213
👁️
MITRE ATT&CK Tactic - Describes the strategy hackers use to execute this attack.
VULNERABLE: version not auto-detected — verify your deployed version locally
CVSS VECTOR BREAKDOWN 8.8
AV: A Attack Vector Adjacent
AC: L Attack Complexity Low
PR: N Privileges Required None
UI: N User Interaction None
S: U Scope Unchanged
C: H Confidentiality High
I: H Integrity High
A: H Availability High
8.8
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2020-25187 is a heap-based buffer overflow vulnerability in the Medtronic MyCareLink Smart 25000 patient reader, a medical device used for remote monitoring of implanted cardiac devices. An authenticated attacker who can send a debug command to the device can trigger a heap overflow within the MCL Smart Patient Reader software stack, potentially leading to remote code execution and full device control. The vulnerability carries a CVSS score of 8.8 (High) and affects patients using the MyCareLink Smart system for cardiac device monitoring. Medtronic has released a firmware update delivered via the MyCareLink Smart mobile application (v5.2) that addresses this and related vulnerabilities; however, patch confirmation is limited to a single vendor source (confidence 2/4).

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Technical Analysis

The NVD description indicates the vulnerability resides in the MyCareLink Smart 25000 patient reader, a home-use medical device that communicates with implanted cardiac devices (pacemakers, defibrillators) and relays data to healthcare providers via a paired smartphone application.

The vulnerability class is a heap-based buffer overflow (CWE-122). The flaw is triggered when an authenticated attacker sends a debug command to the patient reader. The MCL Smart Patient Reader software stack processes this command without adequate bounds checking, allowing an attacker to write data beyond the allocated heap buffer. This memory corruption can corrupt adjacent heap metadata or application data, potentially leading to arbitrary code execution within the context of the device's firmware.

Key technical observations derived from available data:

  1. Authentication requirement: The attacker must be "authenticated." This implies the debug command path requires some form of credential or access token, though the specific authentication mechanism is not disclosed in the NVD description. The attack surface is therefore not fully exposed to unauthenticated remote attackers, but rather to those who have obtained valid credentials or bypassed the authentication layer through other means.

  2. Debug command interface: The presence of a debug command suggests the device firmware includes development/debugging functionality that was not fully hardened or removed before production release. Debug interfaces are a common source of vulnerabilities in embedded medical devices, as they often bypass normal security controls and expose low-level memory manipulation capabilities.

  3. Remote execution potential: The NVD description states the heap overflow "could allow an attacker to remotely execute code on the MCL Smart Patient Reader, potentially leading to control of the device." The term "remotely" indicates the attack vector is network-based, likely over the Bluetooth or Wi-Fi communication channel between the patient reader and the paired smartphone, or potentially over the device's network interfaces.

  4. Attack surface: The patient reader communicates with: (a) implanted cardiac devices via short-range telemetry, (b) a paired smartphone via Bluetooth, and (c) potentially cloud services via the smartphone's network connection. The debug command is likely reachable via one or more of these interfaces.

Insufficient technical detail is available to identify specific function names, buffer sizes, or the exact memory corruption mechanics. The vulnerability is analyzed at the class level: a heap overflow triggered by an insufficiently validated debug command sent by an authenticated user.

Exploitation Scenarios

No public PoC is available; the attack chain is inferred from the vulnerability class and NVD description.

Step 1 — Reconnaissance/Target Identification: An attacker must first identify a target running the Medtronic MyCareLink Smart 25000 patient reader. This could be achieved through:

  • Physical proximity scanning for Bluetooth Low Energy (BLE) devices advertising MyCareLink identifiers
  • Social engineering to gain physical access to a patient's home
  • Targeting healthcare facilities that use MyCareLink equipment for patient demonstrations or temporary monitoring

Step 2 — Authentication Bypass or Credential Acquisition: The vulnerability requires an "authenticated attacker." The attacker must either:

  • Obtain valid credentials (e.g., through phishing, credential stuffing, or insider access to a healthcare provider's systems)
  • Discover a default or hardcoded credential used during the initial patient reader setup process
  • Combine this vulnerability with another flaw that bypasses authentication

The specific authentication mechanism is not disclosed, but debug interfaces often use shared or manufacturer-set credentials across a device family.

Step 3 — Triggering the Heap Overflow via Debug Command: Once authenticated, the attacker sends a crafted debug command to the patient reader. The command includes input data that exceeds the expected buffer size allocated on the heap. The vulnerable software stack fails to validate the input length, writing past the heap buffer boundary. This corrupts adjacent heap memory.

Step 4 — Payload Execution and Post-Exploitation: By carefully controlling the overflowed data, the attacker can overwrite heap metadata or function pointers to redirect execution flow to attacker-controlled code. The NVD description confirms the potential for remote code execution and full device control. Post-exploitation, an attacker could:

  • Manipulate cardiac device telemetry data transmitted from the implanted device
  • Disrupt monitoring functionality, potentially delaying critical alerts to healthcare providers
  • Use the patient reader as a pivot point to compromise the paired smartphone viaBluetooth
  • Exfiltrate sensitive patient health data stored on or relayed through the device

Impact on patient safety: If an attacker controls the patient reader, they could suppress or alter alerts related to the patient's cardiac condition, creating a direct patient safety risk.

Impact Assessment

CVSS Context: The 8.8 score reflects high confidentiality, integrity, and availability impacts. The attack vector is likely adjacent network (AV:A) given the Bluetooth-based attack surface, requiring close physical proximity (within Bluetooth range) to the target device.

Business Impact:

  • Patient safety: Direct risk to patients with implanted cardiac devices whose monitoring could be disrupted or manipulated
  • Regulatory: Medical device vulnerabilities face scrutiny from FDA (in the US) and EU MDR regulators; failure to remediate could result in enforcement action
  • Reputational: Medtronic is a leading medical device manufacturer; a remotely exploitable vulnerability in a cardiac monitoring product undermines trust in the Medtronic security posture
  • Legal: Potential liability if exploitation of this vulnerability causes patient harm

Affected Systems:

  • Medtronic MyCareLink Smart 25000 patient reader (all firmware versions prior to the v5.2 app-bundled update)
  • Paired smartphones (iOS and Android) running MyCareLink Smart mobile app versions prior to v5.2

Blast Radius:

  • Directly affected: patients with MyCareLink Smart 25000 readers actively in use
  • Indirectly affected: healthcare providers relying on MyCareLink data for clinical decisions; the broader Medtronic product ecosystem may face increased scrutiny

EPSS Context: EPSS score of 0.03768 (88.9th percentile) indicates a relatively high probability of exploitation in the wild compared to other CVEs, though no active exploitation has been confirmed. The CISA KEV listing is NO, meaning CISA has not catalogued this as known-exploited.

Detection Guidance

The following detection rules assume monitoring of network traffic to/from MyCareLink Smart devices, endpoint telemetry on the paired smartphone, and system logs where applicable.

Sigma Rule

title: Medtronic MyCareLink Smart Debug Command Attempt
id: 5f8e2a3b-1c9d-4e7f-8a2b-6d3c1e4f5a7b
status: experimental
description: Detects attempts to send debug commands to Medtronic MyCareLink Smart 25000 patient reader
author: Valters IT Security Research
date: 2024/01/15
logsource:
    category: application
    product: medtronic_mycarelink
detection:
    selection:
        EventID: 'DEBUG_COMMAND_RECEIVED'
        DeviceType: 'MyCareLink Smart 25000'
    condition: selection
level: high
falsepositives:
    - Legitimate Medtronic technical support operations
    - Authorized firmware testing by vendor
tags:
    - attack.t1213
    - cve.2020-25187
    - medical.device.security

Note: This Sigma rule is generic and assumes an application-level logging mechanism exists on the MyCareLink system. If such logs are not exported to a SIEM, deploy a Microsoft Sysmon-like configuration on the paired smartphone to capture Bluetooth communication events.

YARA Rule

rule Medtronic_MyCareLink_Debug_Command_Payload
{
    meta:
        author = "Valters IT Security Research"
        description = "Detects payloads containing MyCareLink debug command patterns"
        cve = "CVE-2020-25187"
        date = "2024-01-15"
    
    strings:
        $debug_cmd1 = "debug" ascii wide
        $debug_cmd2 = "cmd" ascii wide
        $device_id = "MyCareLink" ascii wide
        $overrun_pattern = {FF FF FF FF 41 41 41 41}
        
    condition:
        uint16(0) == 0x4D43 or   // "MC" magic bytes
        all of them
}

Note: The strings above are illustrative patterns for detecting debug command traffic at the payload level. Update with actual packet captures once available.

Suricata IDS Rule

alert bluetooth any any -> any any (msg:"CVE-2020-25187 Medtronic MyCareLink Smart Debug Command"; content:"debug"; nocase; content:"MyCareLink"; nocase; distance:0; flow:established; classtype:attempted-admin; sid:202025187; rev:1; reference:cve,2020-25187;)

Note: This rule assumes the debug command is transmitted in plaintext over Bluetooth. If encrypted, network-level detection is not feasible — rely on host-based detection on the patient reader or paired smartphone.

Elastic Detection

sequence by host.process.parent.entity_id with maxspan=5m
 [process where event.action == "exec" and process.name : "mycarelink*"]
 [network where event.action == "connection_attempted" and destination.port in (1, 17) and network.protocol in ("ble", "bluetooth")]

Note: This EQL rule monitors for the MyCareLink application initiating network connections over BLE/Bluetooth protocols, which could precede a debug command transmission. Requires that the paired smartphone's endpoint agent captures Bluetooth events (may require custom integration).

Splunk SPL Query

index=medtronic_mycarelink sourcetype=reader_logs
| search "DEBUG" OR "debug" OR "cmd" OR "command"
| table _time, host, source, message
| where match(message, "(?i)debug")
| stats count by host, source
| sort -count

Note: This query assumes logs from the MyCareLink reader or associated mobile app are sent to Splunk. Ensure appropriate log forwarding is configured. Additionally, monitor Bluetooth event logs on the paired smartphone:

index=windows OR index=macos sourcetype=bluetooth*
| search "MyCareLink" OR "Medtronic"
| table _time, host, bluetooth_device, event_type

Wazuh OSSEC Rule

<rule id="495117" level="12">
    <decoded_as>json</decoded_as>
    <field name="log_type">mycarelink_debug</field>
    <description>Medtronic MyCareLink Smart - Debug command detected (CVE-2020-25187)</description>
    <group>cve-2020-25187,medtronic,medical_device,</group>
    <mitre>
        <id>T1213</id>
    </mitre>
</rule>

Note: This rule assumes a custom log decoder is configured for MyCareLink device logs. If using the built-in JSON decoder, adjust the field name to match your log source.

Mitigation & Patch Guidance

Patch Confidence: 2/4 (CLAIMED — single source claims patch, not independently confirmed). Medtronic's claim that app v5.2 resolves the vulnerability should be verified through independent testing or by contacting Medtronic Product Security directly.

1. Immediate Mitigations

  • Update MyCareLink Smart mobile application to v5.2 immediately: The firmware patch is delivered through the mobile app when the patient reader is next used with an updated phone.
  • Maintain physical control of the patient reader: Keep the device in a private, physically controlled environment (e.g., home, not public spaces). This reduces the risk of a nearby attacker establishing Bluetooth connectivity.
  • OS upgrade requirement: Ensure the paired smartphone runs iOS 10+ or Android 6.0+; the patch will only be applied if the OS meets this minimum.
  • Monitor for suspicious device behavior: Patients and caregivers should report any unexpected reader behavior to the healthcare provider or Medtronic representative.
  • Restrict Bluetooth exposure: Disable Bluetooth on the paired smartphone when not actively using the patient reader, if clinically feasible.

2. Patch/Upgrade Steps

  1. On the paired smartphone, open the MyCareLink Smart mobile application.
  2. Navigate to the application store (Apple App Store or Google Play Store).
  3. Update the MyCareLink Smart app to version 5.2 or later.
  4. Power on the patient reader and ensure it is within Bluetooth range of the smartphone.
  5. Allow the app to complete the firmware update process — the patient reader will be updated on next use following the app update.
  6. Verify the patient reader firmware version after update; confirm with Medtronic support if uncertain.
  7. Confirm the smartphone OS meets the minimum version (iOS 10+/Android 6.0+) and update if necessary.

3. Long-Term Hardening

  • Establish a medical device inventory: Healthcare organizations should track all Medtronic MyCareLink devices in use by patients, including firmware versions, to ensure timely patching.
  • Vendor verification: Request that Medtronic provide an official security advisory and firmware version changelog to independently confirm the patch addresses CVE-2020-25187.
  • Segment medical device networks: If the MyCareLink reader or its associated infrastructure is on a hospital network, segment it from general IT traffic.
  • Security awareness for patients: Educate patients on the importance of maintaining physical control of home monitors and reporting suspicious behavior.
  • Monitor Medtronic security advisories (https://www.medtronic.com/xg-en/product-security/security-bulletins.html) for further updates or additional CVEs in the MyCareLink Smart product line.
  • Include medical devices in vulnerability management program: Ensure CVE-2020-25187 is tracked in your vulnerability management database and that patch verification is completed with documented evidence.

References

  1. NVD Entry: https://nvd.nist.gov/vuln/detail/CVE-2020-25187
  2. Medtronic Product Security: https://www.medtronic.com/xg-en/product-security/security-bulletins.html
  3. Medtronic Security Information: https://www.medtronic.com/security
  4. CISA Known Exploited Vulnerabilities Catalog (not listed): https://www.cisa.gov/known-exploited-vulnerabilities-catalog

Threat Actor Campaigns / Exploit-in-the-Wild Evidence:
No known threat actor campaigns or confirmed exploits-in-the-wild for CVE-2020-25187 have been reported. The EPSS score of 0.03768 (88.9th percentile) suggests elevated likelihood of future exploitation relative to other known vulnerabilities, but no active exploitation has been confirmed. The lack of public PoC or exploit code limits the immediate threat level, though the high CVSS score and medical device context warrant continued monitoring.

👁️ SHODAN DORKS (THREAT HUNTING)

What is this? Security researchers use these exact search queries on Shodan.io (a search engine for internet-connected devices) to find vulnerable systems globally. You can copy these dorks to see if your organization's IP space is exposed.

Medtronic MyCareLink
mycarelink smart patient reader
Medtronic 24950

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