EUVD-2025-6852

Comprehensive Technical Analysis of EUVD-2025-6852

1. Vulnerability Assessment and Severity Evaluation

The vulnerability identified in the Kedro ShelveStore class (version 0.19.8) is a Remote Code Execution (RCE) flaw. This vulnerability allows an attacker to execute arbitrary Python code through the deserialization of malicious payloads. The use of Python's shelve module, which relies on pickle for serialization, is the root cause. pickle is known for its insecure deserialization capabilities, making it a common vector for RCE attacks.

Severity Evaluation:

• Base Score: 9.8 (Critical)
• Base Score Version: 3.0
• Base Score Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

The high base score indicates that this vulnerability is critical. The attack vector (AV:N) is network-based, requiring no user interaction (UI:N) and no privileges (PR:N). The complexity of the attack is low (AC:L), and the impact on confidentiality, integrity, and availability is high (C:H/I:H/A:H).

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

1. Network-Based Attacks: An attacker can exploit this vulnerability over the network by injecting a malicious payload into the shelve file.
2. Supply Chain Attacks: If an attacker can manipulate the shelve file during distribution or deployment, they can embed malicious code.

Exploitation Methods:

1. Crafting Malicious Payloads: An attacker can craft a payload that, when deserialized, executes arbitrary Python code.
2. Session Data Manipulation: By manipulating session data stored in the shelve file, an attacker can introduce malicious code that gets executed during deserialization.

3. Affected Systems and Software Versions

Affected Software:

• Kedro ShelveStore class version 0.19.8

Affected Systems:

• Any system running Kedro version 0.19.8 that utilizes the ShelveStore class for session management.

4. Recommended Mitigation Strategies

1. Upgrade to a Patched Version: Upgrade to Kedro version 0.19.9 or later, which addresses this vulnerability.
2. Avoid Using pickle for Serialization: Replace pickle with a safer serialization method, such as JSON or YAML, which do not support arbitrary code execution.
3. Input Validation: Implement strict input validation and sanitization to prevent malicious payloads from being stored in the shelve file.
4. Network Security: Implement network security measures such as firewalls and intrusion detection systems to monitor and block suspicious network activities.
5. Regular Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.

5. Impact on European Cybersecurity Landscape

This vulnerability poses a significant risk to organizations using Kedro for data pipelines and session management. Given the critical nature of the vulnerability, it could lead to full system compromises, data breaches, and loss of service availability. The widespread use of Kedro in data engineering and machine learning pipelines across Europe amplifies the potential impact.

6. Technical Details for Security Professionals

Vulnerability Details:

• CVE ID: CVE-2024-9701
• GHSA ID: GHSA-747f-ww56-4q4h
• Assigner: @huntr_ai

References:

• NVD Detail
• GitHub Commit
• Huntr Bounty
• GitHub Commit

Technical Recommendations:

• Code Review: Ensure that all serialization and deserialization processes avoid using pickle.
• Security Testing: Implement automated security testing to detect and mitigate similar vulnerabilities.
• Incident Response: Prepare an incident response plan to quickly address any potential exploitation of this vulnerability.

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.