CVE-2022-39944

In Apache Linkis =1.2.0 when used with the MySQL Connector/J, a deserialization vulnerability with possible remote code execution impact exists when an attacker has write access to a database and configures a JDBC EC with a MySQL data source and malicious parameters. Therefore, the parameters in...

CVE-2022-44645

In Apache Linkis =1.3.0 when used with the MySQL Connector/J, a deserialization vulnerability with possible remote code execution impact exists when an attacker has write access to a database and configures new datasource with a MySQL data source and malicious parameters. Therefore, the parameter...

CVE-2022-44644

In Apache Linkis =1.3.0 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, By adding allowLoadLocalInfile to true in the JDBC parameter. Therefore, the parameters in the JDBC URL should be...

Apache Linkis Input Validation Error Vulnerability

Apache Linkis is a middleware product of the U.S. Apache Apache Foundation, which can establish an effective connection between upper-tier applications and the underlying data engine. An input validation error vulnerability exists in Apache Linkis versions prior to 1.7.0, which stems from the lac...

CVE-2023-50740

In Apache Linkis =1.4.0, The password is printed to the log when using the Oracle data source of the Linkis data source module. We recommend users upgrade the version of Linkis to version 1.5.0...

CVE-2023-29216

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...

CVE-2023-27602

In Apache Linkis =1.3.1, The PublicService module uploads files without restrictions on the path to the uploaded files, and file types. We recommend users upgrade the version of Linkis to version 1.3.2. For versions =1.3.1, we suggest turning on the file path check switch in linkis.properties...

Arbitrary File Read

org.apache.linkis, linkis-metadata-query-service-jdbc is vulnerable to Arbitrary File Read. The vulnerability is due to insufficient parameter filtering in the DataSource Manager Module, allowing an attacker to configure malicious MySQL JDBC parameters to read arbitrary files from the server...

Apache Linkis Metadata Query Service JDBC: JDBC Datasource Module with Mysql has file read vulnerability

Affected versions: - Apache Linkis Metadata Query Service JDBC 1.5.0 before 1.7.0 Description: 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...

GHSA-8CVQ-3JJP-PH9P Apache Linkis Metadata Query Service JDBC: JDBC Datasource Module with Mysql has file read vulnerability

Affected versions: - Apache Linkis Metadata Query Service JDBC 1.5.0 before 1.7.0 Description: 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...

CVE-2024-45627

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...

CVE-2024-45627 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...

CVE-2024-45627 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...

CVE-2024-45627 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...

CVE-2024-45627

Summary (CVE-2024-45627) In Apache Linkis, versions earlier than 1.7.0 are vulnerable due to insufficient filtering of parameters in the DataSource Manager’s MySQL JDBC configuration. An attacker with an authorized Linkis account can configure malicious MySQL JDBC parameters to read arbitrary fil...

Apache Linkis 安全漏洞

Apache Linkis is a middleware product of the U.S. Apache Apache Foundation, which can establish an effective connection between upper-tier applications and the underlying data engine. An input validation error vulnerability exists in Apache Linkis versions prior to 1.7.0, which stems from the lac...

Apache Linkis Spark EngineConn: Commons Lang's RandomStringUtils Random string security vulnerability

In Apache Linkis = 1.5.0, a Random string security vulnerability in Spark EngineConn, random string generated by the Token when starting Py4j uses the Commons Lang's RandomStringUtils. Users are recommended to upgrade to version 1.6.0, which fixes this issue...

GHSA-6GCH-63WP-4V5F Apache Linkis Spark EngineConn: Commons Lang's RandomStringUtils Random string security vulnerability

In Apache Linkis = 1.5.0, a Random string security vulnerability in Spark EngineConn, random string generated by the Token when starting Py4j uses the Commons Lang's RandomStringUtils. Users are recommended to upgrade to version 1.6.0, which fixes this issue...

CVE-2024-39928

In Apache Linkis = 1.5.0, a Random string security vulnerability in Spark EngineConn, random string generated by the Token when starting Py4j uses the Commons Lang's RandomStringUtils. Users are recommended to upgrade to version 1.6.0, which fixes this issue...

Apache Linkis 加密问题漏洞

Apache Linkis is a middleware product from the Apache Foundation that establishes an efficient connection between upper-tier applications and the underlying data engine. An encryption issue vulnerability exists in Apache Linkis version 1.5.0 and prior versions, which stems from the use of Commons...