In Apache Linkis versions up to 1.3.0, a vulnerability exists when used with the MySQL Connector/J in the data source module. An authenticated attacker could read arbitrary local files by connecting a rogue MySQL server. This is achievable by setting the JDBC parameter 'allowLoadLocalInfile' to true. It is crucial to blacklist this parameter in the JDBC URL to prevent exploitation.
The vulnerability has been scored with a CVSS score of 6.5, categorizing it as medium severity. The attack vector is network-based with low attack complexity and requires low privileges to exploit. Given the potential for high confidentiality impact and the ability for attackers to read sensitive files, organizations must prioritize patching this vulnerability.
Organizations should address this vulnerability in their priority patch cycle. The recommended action is to upgrade to Apache Linkis version 1.3.1 or later to effectively mitigate this risk.
As of now, no public exploits have been confirmed, and the vulnerability is not included in the Known Exploited Vulnerabilities (KEV) catalog. However, due diligence is necessary as the risk of exploitation could increase if attackers become aware of this vulnerability.
Organizations must remain vigilant and monitor for any signs of exploitation. Regular updates and security assessments will help in maintaining a strong security posture.
Vulnerability Details
The vulnerability allows authenticated attackers to read arbitrary local files due to improper handling of JDBC parameters, specifically when connecting to a malicious MySQL server. The affected version is Apache Linkis up to 1.3.0. The CVSS score of 6.5 indicates a medium severity level, highlighting the necessity for immediate remediation.
Technical Analysis
The root cause of this vulnerability stems from insufficient validation of JDBC parameters, which could lead to unauthorized access to local files. The attack vector is network-based, and the complexity is low. The attacker requires low privileges and no user interaction is needed, making it easier to exploit.
Risk & Impact Analysis
The real-world risk associated with this vulnerability is significant, as attackers could potentially access sensitive information stored in local files. The confidentiality impact is rated as high, while integrity and availability impacts are negligible. Organizations utilizing Apache Linkis must understand the potential blast radius of this vulnerability and act promptly to mitigate it.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The affected version is Apache Linkis up to and including 1.3.0. Users should upgrade to version 1.3.1 to address this vulnerability. If version information is not available, it is advised to assume all versions prior to the vendor patch are affected.
Mitigation & Remediation
To mitigate this vulnerability, organizations should immediately upgrade to Apache Linkis version 1.3.1 or later. If a patch is unavailable, it is recommended to blacklist the 'allowLoadLocalInfile' parameter in JDBC URLs to prevent unauthorized access to local files. Continuous monitoring and security assessments should also be performed to ensure ongoing protection.
Detection Guidance
Log indicators should be monitored for any unusual JDBC connections or attempts to access local files from a MySQL server. Behavioral anomalies indicating unauthorized access should also be investigated. Additionally, network signatures related to MySQL connections may help in identifying potential exploitation attempts.
AppSecure Threat Intelligence Insight
This vulnerability highlights the importance of stringent validation of database connection parameters. Organizations should learn from this incident and implement security best practices to prevent similar vulnerabilities. For further insights, security teams can explore various services such as penetration testing and application security assessments to identify and remediate vulnerabilities proactively.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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