CVE-2024-9701
CVE-2024-9701
Weakness (CWE)
CVSS Vector
v3.0- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
A Remote Code Execution (RCE) vulnerability has been identified in the Kedro ShelveStore class (version 0.19.8). This vulnerability allows an attacker to execute arbitrary Python code via deserialization of malicious payloads, potentially leading to a full system compromise. The ShelveStore class uses Python's shelve module to manage session data, which relies on pickle for serialization. Crafting a malicious payload and storing it in the shelve file can lead to RCE when the payload is deserialized.
Comprehensive Technical Analysis of CVE-2024-9701
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-9701 CVSS Score: 9.8
The vulnerability in question is a Remote Code Execution (RCE) flaw in the Kedro ShelveStore class, version 0.19.8. This vulnerability arises from the use of Python's shelve module, which relies on pickle for serialization. The pickle module is known for its insecure deserialization capabilities, which can be exploited to execute arbitrary Python code.
Severity Evaluation:
- CVSS Score: 9.8 (Critical)
- Impact: Full system compromise, including data breaches, unauthorized access, and potential lateral movement within the network.
- Exploitability: High, as the vulnerability can be triggered remotely via crafted payloads.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Malicious Payload Injection: An attacker can inject a malicious payload into the shelve file, which will be deserialized by the ShelveStore class.
- Supply Chain Attack: Compromising upstream dependencies or libraries that interact with the ShelveStore class.
Exploitation Methods:
- Crafting Malicious Payloads: An attacker can create a specially crafted payload that, when deserialized, executes arbitrary Python code.
- Session Data Manipulation: By manipulating session data stored in the shelve file, an attacker can introduce malicious code that will be executed during deserialization.
3. Affected Systems and Software Versions
Affected Software:
- Kedro ShelveStore class, version 0.19.8
Affected Systems:
- Any system or application that uses the Kedro ShelveStore class for managing session data.
- Systems that rely on Python's
shelvemodule for serialization and deserialization.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Patching: Upgrade to a patched version of Kedro that addresses this vulnerability.
- Disable Pickle: If possible, avoid using
picklefor serialization. Consider safer alternatives like JSON or YAML. - Input Validation: Implement strict input validation and sanitization for any data that is serialized or deserialized.
Long-Term Mitigation:
- Code Review: Conduct a thorough code review to identify and mitigate similar vulnerabilities.
- Security Training: Educate developers on the risks associated with using
pickleand other insecure serialization methods. - Regular Updates: Ensure that all dependencies and libraries are regularly updated to their latest versions.
5. Impact on Cybersecurity Landscape
Immediate Impact:
- Increased Risk: Organizations using the affected Kedro version are at high risk of RCE attacks, which can lead to significant data breaches and system compromises.
- Supply Chain Risks: The vulnerability highlights the risks associated with third-party libraries and the need for robust supply chain security measures.
Long-Term Impact:
- Shift to Safer Serialization: The incident may prompt a shift towards safer serialization methods and increased scrutiny of third-party dependencies.
- Enhanced Security Practices: Organizations may adopt more stringent security practices, including regular code audits and vulnerability assessments.
6. Technical Details for Security Professionals
Vulnerability Details:
- Root Cause: The use of
picklefor serialization in the ShelveStore class. - Exploitation: Deserialization of a malicious payload stored in the shelve file leads to arbitrary code execution.
Detection and Response:
- Monitoring: Implement monitoring for unusual activity related to the ShelveStore class and deserialization processes.
- Incident Response: Develop an incident response plan that includes steps for identifying, containing, and remediating RCE attacks.
References:
Conclusion: CVE-2024-9701 represents a critical vulnerability that underscores the importance of secure coding practices and the risks associated with insecure serialization methods. Organizations must take immediate action to mitigate this vulnerability and adopt long-term strategies to enhance their cybersecurity posture.