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

Apache Linkis, specifically the Metadata Query Service JDBC component, is vulnerable to an Arbitrary File Read vulnerability in versions prior to 1.7.0 . The root cause is an input validation error resulting from a lack of effective filtering of parameters within the DataSource Manager Module . A...

CVE-2024-45627: Files or Directories Accessible to External Parties

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...

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...

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...

CVE-2024-39928: Inadequate Encryption Strength

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 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 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

Apache Linkis versions 1.3.0 through 1.5.0 are vulnerable to a weak random string generation security issue within the Spark EngineConn component. The vulnerability arises because the Token generates a random string when starting Py4j using Commons Lang's RandomStringUtils , which is insecure. Th...

CVE-2024-39928 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...

PT-2024-28740 · Apache · Spark Engineconn +2

Name of the Vulnerable Software and Affected Versions: Apache Linkis versions 1.3.0 through 1.5.0 Description: A Random string security vulnerability exists in Spark EngineConn, where the random string generated by the Token when starting Py4j uses Commons Lang's RandomStringUtils. Recommendation...

Apache Linkis Elevation of Privilege 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 elevation of privilege vulnerability exists in Apache Linkis, which can be exploited by an attacker to gain...

Apache Linkis Security Bypass 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. A security bypass vulnerability exists in Apache Linkis, which can be exploited by an attacker to delete arbitrar...

GHSA-J6VX-R77H-44WC Apache Linkis arbitrary file deletion vulnerability

In Apache Linkis = 1.5.0, Arbitrary file deletion in Basic management services on a user with an administrator account could delete any file accessible by the Linkis system user. Users are recommended to upgrade to version 1.6.0, which fixes this issue...

Apache Linkis arbitrary file deletion vulnerability

In Apache Linkis = 1.5.0, Arbitrary file deletion in Basic management services on a user with an administrator account could delete any file accessible by the Linkis system user. Users are recommended to upgrade to version 1.6.0, which fixes this issue...