CVE-2025-29847

A vulnerability in Apache Linkis. Problem Description When using the JDBC engine and da When using the JDBC engine and data source functionality, if the URL parameter configured on the frontend has undergone multiple rounds of URL encoding, it may bypass the system's checks. This bypass can trigg...

CVE-2025-59355

A vulnerability. When org.apache.linkis.metadata.util.HiveUtils.decode fails to perform Base64 decoding, it records the complete input parameter string in the log via logger.errorstr + "decode failed", e. If the input parameter contains sensitive information such as Hive Metastore keys, plaintext...

Apache Linkis: Password Exposure

When org.apache.linkis.metadata.util.HiveUtils.decode fails to perform Base64 decoding, it records the complete input parameter string in the log via logger.errorstr + "decode failed", e. If the input parameter contains sensitive information such as Hive Metastore keys, plaintext passwords will b...

Apache Linkis: Arbitrary File Read via Double URL Encoding Bypass

A vulnerability in Apache Linkis. Problem Description When using the JDBC engine and data source functionality, if the URL parameter configured on the frontend has undergone multiple rounds of URL encoding, it may bypass the system's checks. This bypass can trigger a vulnerability that allows...

GHSA-C399-Q49H-QWC8 Apache Linkis: Arbitrary File Read via Double URL Encoding Bypass

A vulnerability in Apache Linkis. Problem Description When using the JDBC engine and data source functionality, if the URL parameter configured on the frontend has undergone multiple rounds of URL encoding, it may bypass the system's checks. This bypass can trigger a vulnerability that allows...

CVE-2025-29847

A vulnerability in Apache Linkis. Problem Description When using the JDBC engine and da When using the JDBC engine and data source functionality, if the URL parameter configured on the frontend has undergone multiple rounds of URL encoding, it may bypass the system's checks. This bypass can trigg...

CVE-2025-29847

A vulnerability in Apache Linkis. Problem Description When using the JDBC engine and da When using the JDBC engine and data source functionality, if the URL parameter configured on the frontend has undergone multiple rounds of URL encoding, it may bypass the system's checks. This bypass can trigg...

CVE-2025-59355 Apache Linkis: Password Exposure

A vulnerability. When org.apache.linkis.metadata.util.HiveUtils.decode fails to perform Base64 decoding, it records the complete input parameter string in the log via logger.errorstr + "decode failed", e. If the input parameter contains sensitive information such as Hive Metastore keys, plaintext...

CVE-2025-29847

A vulnerability in Apache Linkis. Problem Description When using the JDBC engine and da When using the JDBC engine and data source functionality, if the URL parameter configured on the frontend has undergone multiple rounds of URL encoding, it may bypass the system's checks. This bypass can trigg...

CVE-2025-29847 Apache Linkis: Arbitrary File Read via Double URL Encoding Bypass

A vulnerability in Apache Linkis. Problem Description When using the JDBC engine and da When using the JDBC engine and data source functionality, if the URL parameter configured on the frontend has undergone multiple rounds of URL encoding, it may bypass the system's checks. This bypass can trigg...

CVE-2025-29847

CVE-2025-29847 (Apache Linkis) : A vulnerability in Apache Linkis where, when using the JDBC engine and data source, multiple URL-encoded parameters on the frontend can bypass checks and allow unauthorized access to system files via JDBC parameters. Affected versions: 1.3.0–1.7.0. Impact: potenti...

Apache Linkis security vulnerabilities

Apache Linkis is a middleware product developed by the Apache Foundation in the United States. It enables effective connections between upper-level applications and underlying data engines. Versions of Apache Linkis 1.7.0 and earlier contain security vulnerabilities. These vulnerabilities stem fr...

CVE-2023-29215

In Apache Linkis =1.3.1, due to the lack of effective filtering of parameters, an attacker configuring malicious Mysql JDBC parameters in JDBC EengineConn Module will trigger a deserialization vulnerability and eventually lead to remote code execution. Therefore, the parameters in the Mysql JDBC...

CVE-2023-49566

In Apache Linkis =1.5.0, due to the lack of effective filtering of parameters, an attacker configuring malicious db2 parameters in the DataSource Manager Module will result in jndi injection. Therefore, the parameters in the DB2 URL should be blacklisted. This attack requires the attacker to obta...

EUVD-2023-1961

Malicious code in bioql PyPI...

EUVD-2024-0960

Malicious code in bioql PyPI...

EUVD-2023-0482

Malicious code in bioql PyPI...

EUVD-2023-1378

Malicious code in bioql PyPI...

EUVD-2023-0550

Malicious code in bioql PyPI...

EUVD-2022-7003

Malicious code in bioql PyPI...