CVE-2025-6507

Comprehensive Technical Analysis of CVE-2025-6507

1. Vulnerability Assessment and Severity Evaluation

CVE ID: CVE-2025-6507 CVSS Score: 9.8

The vulnerability in the h2oai/h2o-3 repository, specifically in version 3.47.0.99999, is classified as critical due to its high CVSS score of 9.8. This score indicates a severe risk to systems running the affected software. The vulnerability allows attackers to exploit deserialization of untrusted data, which can lead to arbitrary code execution and unauthorized access to system files. The ability to bypass regular expression filters intended to prevent malicious parameter injection in JDBC connections significantly increases the risk.

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

• Deserialization of Untrusted Data: Attackers can send crafted data to the application, which, when deserialized, can execute arbitrary code.
• Parameter Injection in JDBC Connections: By manipulating spaces between parameters, attackers can evade detection mechanisms and inject malicious parameters into JDBC connections.

Exploitation Methods:

• Crafted Input Data: Attackers can create specially crafted input data that exploits the deserialization process.
• Bypassing Regular Expression Filters: By manipulating the input to include spaces between parameters, attackers can bypass the filters designed to prevent malicious injection.

3. Affected Systems and Software Versions

Affected Software:

• h2oai/h2o-3 repository
• Version: 3.47.0.99999 (latest master branch)

Affected Systems:

• Any system running the affected version of the h2oai/h2o-3 software.
• Systems that process untrusted data and utilize JDBC connections.

4. Recommended Mitigation Strategies

Immediate Actions:

• Upgrade to a Patched Version: Upgrade to version 3.46.0.8 or later, which addresses the vulnerability.
• Disable Deserialization: If possible, disable deserialization of untrusted data.
• Enhance Input Validation: Implement stronger input validation mechanisms to prevent malicious parameter injection.

Long-Term Strategies:

• Regular Security Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.
• Use Secure Coding Practices: Adopt secure coding practices to prevent deserialization vulnerabilities and parameter injection attacks.
• Monitor and Update: Continuously monitor for new vulnerabilities and apply patches promptly.

5. Impact on Cybersecurity Landscape

The discovery of CVE-2025-6507 highlights the ongoing challenge of securing applications that handle untrusted data. Deserialization vulnerabilities and parameter injection attacks remain prevalent threats, underscoring the need for robust security measures. This vulnerability serves as a reminder for organizations to prioritize secure coding practices, regular updates, and comprehensive security audits.

6. Technical Details for Security Professionals

Vulnerability Details:

• Deserialization Issue: The vulnerability arises from the deserialization process, where untrusted data is converted into a data structure that can be manipulated to execute arbitrary code.
• Regular Expression Filter Bypass: The attackers can manipulate spaces between parameters to bypass the regular expression filters designed to prevent malicious injection.

Exploitation Steps:

1. Craft Malicious Input: Create input data that exploits the deserialization process.
2. Bypass Filters: Manipulate the input to include spaces between parameters, bypassing the regular expression filters.
3. Execute Arbitrary Code: Once the input is deserialized, execute arbitrary code or access system files.

Mitigation Steps:

1. Upgrade Software: Ensure all systems are running version 3.46.0.8 or later.
2. Implement Stronger Filters: Enhance regular expression filters to detect and prevent manipulated input.
3. Disable Deserialization: If not required, disable the deserialization of untrusted data.

References:

• GitHub Commit
• Huntr Bounty

By addressing this vulnerability promptly and implementing robust security measures, organizations can significantly reduce the risk of exploitation and protect their systems from potential attacks.