Apache Linkis <1.7.0 RFI via Malicious MySQL JDBC URL in DataSource Manager
CVE-2024-45627 Published on January 14, 2025
Apache Linkis Metadata Query Service JDBC: JDBC Datasource Module with Mysql has file read vulnerability
In Apache Linkis <1.7.0, due to the lack of effective filtering
of parameters, an attacker configuring malicious Mysql JDBC parameters in the DataSource Manager Module will
allow the attacker to read arbitrary files from the Linkis server. Therefore, the parameters in the Mysql JDBC URL should be blacklisted. This attack requires the attacker to obtain an authorized account from Linkis before it can be carried out. Versions of Apache Linkis < 1.7.0 will be affected.
We recommend users upgrade the version of Linkis to version 1.7.0.
Vulnerability Analysis
CVE-2024-45627 can be exploited with local system access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to be low. considered to have a small impact on confidentiality and integrity and availability.
Weakness Type
Files or Directories Accessible to External Parties
The product makes files or directories accessible to unauthorized actors, even though they should not be. Web servers, FTP servers, and similar servers may store a set of files underneath a "root" directory that is accessible to the server's users. Applications may store sensitive files underneath this root without also using access control to limit which users may request those files, if any. Alternately, an application might package multiple files or directories into an archive file (e.g., ZIP or tar), but the application might not exclude sensitive files that are underneath those directories.
Products Associated with CVE-2024-45627
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Affected Versions
Apache Software Foundation Apache Linkis Metadata Query Service JDBC:- Version 1.5.0 and below 1.7.0 is affected.
Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.