CVE-2023-29216
CVE-2023-29216
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
In Apache Linkis <=1.3.1, because the parameters are not effectively filtered, the attacker uses the MySQL data source and malicious parameters to configure a new data source to trigger a deserialization vulnerability, eventually leading to remote code execution. Versions of Apache Linkis <= 1.3.0 will be affected. We recommend users upgrade the version of Linkis to version 1.3.2.
Comprehensive Technical Analysis of CVE-2023-29216
1. Vulnerability Assessment and Severity Evaluation
CVE-2023-29216 is a critical vulnerability affecting Apache Linkis, a computation middleware that provides various computation governance capabilities. The vulnerability arises due to inadequate parameter filtering, which allows an attacker to exploit a deserialization flaw when configuring a new data source using the MySQL data source. This can lead to remote code execution (RCE).
CVSS Score: 9.8
- Attack Vector (AV): Network
- Attack Complexity (AC): Low
- Privileges Required (PR): None
- User Interaction (UI): None
- Scope (S): Unchanged
- Confidentiality (C): High
- Integrity (I): High
- Availability (A): High
The high CVSS score indicates that this vulnerability is extremely severe, posing a significant risk to affected systems.
2. Potential Attack Vectors and Exploitation Methods
The primary attack vector involves an attacker sending malicious parameters to the Apache Linkis system, specifically targeting the MySQL data source configuration. The attacker can craft these parameters to exploit the deserialization vulnerability, leading to arbitrary code execution on the affected server.
Exploitation Methods:
- Deserialization Attack: The attacker can send a specially crafted serialized object that, when deserialized, executes malicious code.
- Parameter Injection: By injecting malicious parameters during the configuration of a new data source, the attacker can trigger the deserialization process.
3. Affected Systems and Software Versions
Affected Versions:
- Apache Linkis <= 1.3.1
- Apache Linkis <= 1.3.0 (as explicitly mentioned)
Unaffected Versions:
- Apache Linkis >= 1.3.2
Users are strongly advised to upgrade to version 1.3.2 or later to mitigate this vulnerability.
4. Recommended Mitigation Strategies
Immediate Actions:
- Upgrade: Upgrade Apache Linkis to version 1.3.2 or later.
- Patch Management: Ensure that all systems are regularly updated and patched.
- Network Segmentation: Isolate critical systems to limit the potential impact of an attack.
Long-Term Strategies:
- Input Validation: Implement robust input validation and sanitization mechanisms to prevent malicious parameters from being processed.
- Deserialization Safeguards: Use secure deserialization libraries and practices to mitigate deserialization vulnerabilities.
- Monitoring and Logging: Enhance monitoring and logging to detect and respond to suspicious activities promptly.
5. Impact on Cybersecurity Landscape
The discovery of CVE-2023-29216 highlights the ongoing challenge of securing complex middleware systems that handle sensitive data and computations. Deserialization vulnerabilities continue to be a significant threat, underscoring the need for rigorous code reviews, secure coding practices, and proactive vulnerability management.
This vulnerability also emphasizes the importance of timely patching and the need for organizations to have a robust incident response plan in place. The high CVSS score indicates that such vulnerabilities can have severe consequences, including data breaches, system compromises, and potential financial losses.
6. Technical Details for Security Professionals
Technical Overview:
- Deserialization Vulnerability: The vulnerability stems from the insecure handling of serialized data, which can be manipulated to execute arbitrary code.
- Parameter Filtering: The lack of effective parameter filtering allows attackers to inject malicious data, leading to the deserialization flaw.
Detection and Response:
- Intrusion Detection Systems (IDS): Configure IDS to detect unusual network traffic patterns that may indicate an exploitation attempt.
- Log Analysis: Regularly review logs for any signs of unauthorized access or suspicious activities.
- Incident Response: Have a well-defined incident response plan to quickly identify, contain, and remediate any potential breaches.
Code Review and Testing:
- Static Analysis: Use static analysis tools to identify potential deserialization vulnerabilities in the codebase.
- Dynamic Analysis: Conduct dynamic analysis and penetration testing to uncover and address similar vulnerabilities.
Conclusion: CVE-2023-29216 is a critical vulnerability that requires immediate attention from organizations using Apache Linkis. By upgrading to the latest version, implementing robust security measures, and maintaining vigilant monitoring, organizations can significantly reduce the risk posed by this vulnerability.