CVE-2025-12996
Executive Summary
CVE-2025-12996 exposes a critical information disclosure vulnerability in the Medtronic CareLink Network, a medical device ecosystem used for remote patient monitoring. A local attacker with access to log files on an internal API server can extract plaintext passwords from error logs generated under specific, undocumented circumstances. This flaw allows an authenticated local user to escalate privileges by harvesting credentials of other users or service accounts, potentially compromising the entire CareLink infrastructure. The vulnerability has a CVSS score of 4.1 (Medium), but in the context of healthcare IoT, the impact on patient safety and data privacy is severe. No public exploit code or proof-of-concept is available, and the vendor has not released a patch as of the advisory date.
This record — and 170,000+ others — are available via the ValtersIT API. One endpoint replaces five: NVD + GitHub CVE + CISA KEV + EPSS + Nuclei + Exploit-DB, unified.
No signup required
Supply Chain & Package Security
This vulnerability is not related to open-source package ecosystems (NPM, PyPI, Go, Ruby). It affects a proprietary medical device network appliance. The risk is confined to the Medtronic CareLink Network software stack and its internal API server logging mechanisms.
CVSS Breakdown & Threat Level
- Attack Vector (AV): Local (AV:L) – The attacker must have local access to the API server’s file system.
- Attack Complexity (AC): Low (AC:L) – No special conditions required; logs are accessible with standard user privileges.
- Privileges Required (PR): Low (PR:L) – The attacker needs a valid local user account on the server.
- User Interaction (UI): None (UI:N) – No victim interaction needed.
- Scope (S): Unchanged (S:U) – The exploit does not cross trust boundaries.
- Confidentiality (C): High (C:H) – Plaintext passwords are exposed.
- Integrity (I): None (I:N) – No data modification.
- Availability (A): None (A:N) – No denial of service.
Threat Level: Medium (4.1). However, in a healthcare environment, the actual risk is elevated due to potential lateral movement to patient data systems and medical devices.
Deep Dive & Mechanics
The vulnerability resides in the CareLink Network’s internal API server logging subsystem. Under certain error conditions—likely related to authentication failures, database connection drops, or misconfigured logging levels—the application writes sensitive credentials in plaintext to log files. These logs are typically stored in a world-readable or group-readable location (e.g., /var/log/carelink/api.log or C:\ProgramData\Medtronic\CareLink\logs\).
Root Cause: The application uses a logging framework that, when encountering an exception during authentication or database operations, dumps the entire connection string or authentication context into the log message. This includes usernames and passwords in cleartext. The issue is exacerbated by verbose logging configurations that may be enabled for debugging.
Attack Flow:
- Attacker gains local access to the CareLink API server (e.g., via compromised admin account, physical access, or SSH).
- Attacker enumerates log files in standard locations.
- Attacker searches for patterns like
password=,pwd=,credentials=, orAuthorization: Basicin the logs. - Extracted credentials can be used to access other internal services, databases, or the CareLink web interface.
Vulnerable vs. Patched Code
Since no patch is available, a hypothetical fix would involve:
- Vulnerable Code (Pseudocode):
try: db_connection = connect_to_db(username, password) except Exception as e: logger.error(f"Database connection failed: {e}") # Logs the full exception, which may include the password in the connection string - Patched Code (Hypothetical):
try: db_connection = connect_to_db(username, password) except Exception as e: logger.error("Database connection failed: %s", str(e).replace(password, "***")) # Sanitize the log message by masking the password
Exploitation & Lab Setup
Red Team (Offensive)
Prerequisites:
- Local access to the CareLink API server (e.g., via SSH with a low-privilege account).
- The server runs Linux or Windows with Medtronic CareLink software.
Steps:
- Identify Log Files:
find /var/log -name "*carelink*" -o -name "*medtronic*" 2>/dev/null find /var/log -name "*.log" -exec grep -l "password\|pwd\|credentials" {} \; - Extract Credentials:
grep -r -E "(password|pwd|credentials|Authorization: Basic)" /var/log/carelink/ --no-filename | sort -u - Decode Base64 if needed:
echo "base64_encoded_string" | base64 -d - Use Credentials:
- Access the CareLink web interface.
- Connect to the backend database (e.g., PostgreSQL, MSSQL).
- SSH to other internal servers.
Blue Team (Defensive)
Detection & Response:
- Monitor for unauthorized access to log files using file integrity monitoring (FIM).
- Alert on
greporfindcommands targeting log directories. - Implement log rotation and retention policies to limit exposure.
- Use a SIEM to detect patterns like
password=in log events.
Honeypot:
- Deploy a fake log file with decoy credentials and monitor for access attempts.
Indicators of Compromise (IOCs)
- File Paths:
/var/log/carelink/api.log/var/log/medtronic/error.logC:\ProgramData\Medtronic\CareLink\logs\*.log
- Log Patterns:
password=pwd=credentials=Authorization: Basic [A-Za-z0-9+/=]+
- Network Connections:
- Unusual outbound connections from the API server to internal databases or web interfaces.
- Processes:
grep,find,cat,tailexecuted by non-admin users on log directories.
Detection Engineering
YARA Rule
rule CVE_2025_12996_Medtronic_CareLink_Credentials
{
meta:
description = "Detects plaintext credentials in Medtronic CareLink log files"
author = "Valters IT"
date = "2025-04-10"
cve = "CVE-2025-12996"
strings:
$cred1 = /password\s*=\s*\S+/ nocase
$cred2 = /pwd\s*=\s*\S+/ nocase
$cred3 = /credentials\s*=\s*\S+/ nocase
$cred4 = /Authorization: Basic\s+[A-Za-z0-9+\/=]+/
condition:
any of them
}
Sigma Rule
title: Medtronic CareLink Credential Disclosure in Logs
id: 7a8b9c0d-1e2f-3a4b-5c6d-7e8f9a0b1c2d
status: experimental
description: Detects plaintext credentials in Medtronic CareLink log files
author: Valters IT
date: 2025-04-10
logsource:
category: file_event
product: windows
definition: 'Monitor file creation/modification events in CareLink log directories'
detection:
selection:
TargetFilename|contains:
- '\Medtronic\CareLink\logs\'
- '/var/log/carelink/'
EventID: 11 # FileCreate
condition: selection
falsepositives:
- Legitimate debugging sessions
level: high
Suricata Rule
alert http $HOME_NET any -> $EXTERNAL_NET any (msg:"CVE-2025-12996 Medtronic CareLink Credential Leak"; flow:to_server,established; content:"password="; nocase; http_client_body; sid:1000001; rev:1;)
Remediation & Mitigation
Immediate Actions:
- Restrict Log Access: Ensure only authorized administrators can read log files. Use
chmod 640on Linux or NTFS permissions on Windows. - Disable Verbose Logging: Set logging level to
ERRORorWARNto minimize credential exposure. - Audit Logs: Review existing logs for exposed credentials and rotate them immediately.
- Network Segmentation: Isolate the CareLink API server from the internet and limit internal access.
Long-Term Fix:
- Apply vendor patch when available (expected after December 4, 2025).
- Implement credential sanitization in logging frameworks (e.g., use
logbackwith%replacepatterns). - Conduct a security review of all logging statements in the application.
Workaround:
- Use a log shipper (e.g., Filebeat) with a filter to redact sensitive patterns before forwarding to a SIEM.
Valters IT
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.