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CVE-2025-30042

CVE-2025-30042 Authentication Bypass in Cgm
📅 PUBLISHED: 2026-03-02 11:14 UTC 🔄 UPDATED: 2026-10-09 05:42 UTC
[ PATCH UNDER REVIEW ↓ ] Remains UNDER REVIEW until an independent source confirms the fix ⏳ Vendor-claimed fix: v2025.MS2 — source: CERT-PL. UNVERIFIED · pending independent confirmation. how verification works →
[ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.09%
👁️
0.09% probability
2.3× above the median CVE
Tier: LOW
30-day exploitation window · FIRST.org · updated daily
VULNERABLE: version not auto-detected — verify your deployed version locally
CVSS SEVERITY SCALE
9.0–10.0 CRITICAL
7.0–8.9 HIGH
4.0–6.9 MEDIUM
0.1–3.9 LOW
0.0 NONE
9.0
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2025-30042 exposes a critical authentication bypass vulnerability in the CGM CLININET system, a healthcare IT solution used for clinical data management. The core flaw lies in the implementation of smart card authentication: while the system is designed to require a physical smart card and its associated private key for access, it actually only verifies the certificate number. This means an attacker who obtains a valid certificate number (e.g., through data breach, social engineering, or network sniffing) can authenticate as the legitimate user without possessing the physical smart card or the private key. The vulnerability is classified as CWE-287: Improper Authentication and is mapped to MITRE ATT&CK tactic T1078: Valid Accounts, as the attacker effectively uses a stolen credential (the certificate number) to gain unauthorized access.

The impact is severe: an unauthenticated, remote attacker can bypass the primary authentication mechanism, gaining full access to the CGM CLININET system with the privileges of the impersonated user. Given the healthcare context, this could lead to unauthorized access to protected health information (PHI), modification of clinical data, or disruption of medical services. The CVSS score is calculated as 9.8 (Critical) due to the network attack vector, low attack complexity, no privileges required, no user interaction, and high impact on confidentiality, integrity, and availability.

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CVSS Breakdown & Threat Level

  • CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Base Score: 9.8 (Critical)
  • Attack Vector (AV): Network – The vulnerability can be exploited remotely over the network.
  • Attack Complexity (AC): Low – No special conditions or race conditions are required.
  • Privileges Required (PR): None – The attacker does not need any prior authentication.
  • User Interaction (UI): None – No victim action is required.
  • Scope (S): Unchanged – The vulnerable component and the impacted component are the same.
  • Confidentiality (C): High – Full read access to all data on the system.
  • Integrity (I): High – Full write access to modify or delete data.
  • Availability (A): High – Potential to disrupt system availability.

Threat Level: Critical. The vulnerability is trivial to exploit (only requires a certificate number) and has no known mitigations or patches. The healthcare sector is a high-value target for ransomware and data theft groups.

Deep Dive & Mechanics

The CGM CLININET system implements smart card authentication using X.509 certificates. The intended flow is:

  1. User inserts smart card into a reader.
  2. The system challenges the card to prove possession of the private key (e.g., via a cryptographic signature).
  3. Upon successful proof, the system extracts the certificate number (serial number) and maps it to a user account.

The vulnerability arises because the system only checks the certificate number against a local database of authorized users. It does not verify that the client actually possesses the corresponding private key. This means:

  • The authentication logic is: if (provided_cert_number in allowed_cert_numbers) then grant_access.
  • The smart card reader and cryptographic challenge are either bypassed or not enforced.

An attacker can exploit this by:

  1. Obtaining a valid certificate number (e.g., from a compromised database, network traffic, or a leaked configuration file).
  2. Crafting an authentication request that includes only the certificate number, bypassing the smart card hardware.
  3. The server accepts the request and grants access as the associated user.

The root cause is a design flaw in the authentication protocol: the server trusts the client to have performed the smart card verification locally. This is a classic "client-side authentication" anti-pattern.

Vulnerable vs. Patched Code

Since no patch is available, the following is a conceptual comparison.

Vulnerable (pseudo-code):

def authenticate(request):
    cert_number = request.get('certificate_number')
    if cert_number in allowed_certificates:
        user = get_user_by_cert(cert_number)
        return login(user)
    else:
        return "Authentication failed"

Patched (pseudo-code):

def authenticate(request):
    cert_number = request.get('certificate_number')
    signature = request.get('signature')
    cert = get_certificate(cert_number)
    if cert and verify_signature(cert, signature):
        user = get_user_by_cert(cert_number)
        return login(user)
    else:
        return "Authentication failed"

The patched version requires the client to provide a cryptographic signature that can only be generated with the private key corresponding to the certificate. This ensures the user physically possesses the smart card.

Exploitation & Lab Setup

Red Team (Exploitation)

Prerequisites:

  • A valid certificate number (serial number) from the target CGM CLININET system.
  • Network access to the CGM CLININET server (typically on port 443 or a custom port).
  • Knowledge of the authentication API endpoint (e.g., /api/login or /authenticate).

Exploitation Steps:

  1. Reconnaissance: Scan the target network for CGM CLININET servers. Use Shodan dorks: "CGM CLININET" or "CLININET smart card".
  2. Obtain Certificate Number: This can be done via:
    • Network sniffing (if traffic is unencrypted or if you have MITM position).
    • Dump from a compromised client workstation (e.g., registry, config files).
    • Social engineering to trick a user into revealing their certificate number.
  3. Craft Authentication Request: Send a POST request to the authentication endpoint with the certificate number. Example using curl:
    curl -X POST https://target-clininet.local/api/login \
      -H "Content-Type: application/json" \
      -d '{"certificate_number": "12:34:56:78:9A:BC:DE:F0"}'
    
  4. Receive Session Token: The server will return a session token or cookie, granting access as the impersonated user.
  5. Access Sensitive Data: Use the session token to access patient records, clinical data, or administrative functions.

Automation Script (Python):

import requests

target = "https://target-clininet.local/api/login"
cert_number = "12:34:56:78:9A:BC:DE:F0"

response = requests.post(target, json={"certificate_number": cert_number})
if response.status_code == 200:
    session_token = response.json().get("token")
    print(f"Authenticated! Token: {session_token}")
else:
    print("Authentication failed")

Blue Team (Detection & Defense)

Detection:

  • Monitor for authentication requests that do not include a cryptographic signature or smart card challenge response.
  • Alert on multiple failed authentication attempts followed by a successful login with only a certificate number.
  • Look for anomalous access patterns, such as a single IP address authenticating as multiple different users in a short time.

Defense:

  • Immediate: If possible, disable smart card authentication and enforce multi-factor authentication (MFA) using a different mechanism (e.g., OTP, biometrics).
  • Network Segmentation: Isolate CGM CLININET systems from the internet and untrusted networks.
  • Logging: Enable detailed logging of all authentication attempts, including the presence or absence of cryptographic proof.
  • Honeypot: Deploy a fake CGM CLININET endpoint that logs all certificate numbers used in authentication attempts.

Indicators of Compromise (IOCs)

  • Network IOCs:

    • HTTP POST requests to /api/login or /authenticate with a JSON body containing only a certificate_number field.
    • Absence of a signature or challenge_response field in authentication requests.
    • Multiple successful logins from the same IP address using different certificate numbers.
  • Host IOCs:

    • Unauthorized access to patient records or clinical data.
    • Creation of new user accounts or modification of existing ones.
    • Unusual outbound network connections from the CGM CLININET server.
  • Log IOCs:

    • Authentication log entries showing certificate_number but no signature or challenge fields.
    • Logs indicating "smart card authentication bypassed" or similar warnings.

Detection Engineering

YARA Rule

rule CVE_2025_30042_AuthBypass {
    meta:
        description = "Detects authentication requests that bypass smart card verification in CGM CLININET"
        author = "Valters IT"
        date = "2025-04-10"
        cve = "CVE-2025-30042"
    strings:
        $json_cert = /"certificate_number"\s*:\s*"[^"]+"/ nocase
        $json_no_sig = !"signature"
        $json_no_challenge = !"challenge_response"
    condition:
        $json_cert and ($json_no_sig or $json_no_challenge)
}

Sigma Rule

title: CGM CLININET Authentication Bypass via Certificate Number
id: 8a9b7c6d-5e4f-3a2b-1c0d-9e8f7a6b5c4d
status: experimental
description: Detects authentication requests to CGM CLININET that lack cryptographic proof of smart card possession.
author: Valters IT
date: 2025-04-10
tags:
    - cve.2025-30042
    - attack.t1078
logsource:
    category: application
    product: cgm_clininet
detection:
    selection:
        event: "authentication_attempt"
        request_body|contains: "certificate_number"
    filter:
        request_body|contains: "signature"
    condition: selection and not filter
falsepositives:
    - Legitimate smart card authentication if the system is misconfigured to not send the signature.
level: critical

Suricata Rule

alert http $HOME_NET any -> $EXTERNAL_NET any (
    msg:"CVE-2025-30042 CGM CLININET Authentication Bypass Attempt";
    flow:to_server,established;
    content:"POST"; http_method;
    content:"/api/login"; http_uri;
    content:"certificate_number"; http_client_body;
    pcre:"/\"certificate_number\"\s*:\s*\"[^\"]+\"/";
    pcre:"!/\"signature\"/";
    classtype:attempted-admin;
    sid:10000001;
    rev:1;
)

Remediation & Mitigation

Immediate Actions:

  1. Disable Smart Card Authentication: If possible, switch to a different authentication mechanism (e.g., username/password with MFA, or a properly implemented smart card solution).
  2. Network Isolation: Ensure the CGM CLININET system is not accessible from the internet. Use VPNs or bastion hosts for remote access.
  3. Monitor Logs: Actively monitor authentication logs for the IOCs described above.

Long-Term Fix:

  • The vendor (CGM) must release a patch that enforces server-side verification of the private key. This requires the client to send a cryptographic signature that the server can verify using the public key from the certificate.
  • Until a patch is available, consider implementing a Web Application Firewall (WAF) rule to block authentication requests that do not include a signature field.

Workaround:

  • If the system allows, configure it to require both the certificate number and a one-time password (OTP) sent via a separate channel (e.g., SMS or authenticator app).

Valters IT

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