The vulnerability of the CookieSigner class in the Apache Spark framework and the Apache Hive database allows a perpetrator to gain unauthorized access to protected information.

The vulnerability of the CookieSigner class in the Apache Spark framework and the Apache Hive database is related to the disclosure of the digital signature of cookies due to an incorrect mechanism for generating error reports. Exploiting this vulnerability can allow a remote attacker to gain...

OESA-2025-1039 spark security update

Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Security Fixes: Signing cookies is an application security feature that adds a digital signature to cookie data to verify its...

GHSA-77PM-W3HX-F8MJ Apache Hive and Spark: CookieSigner exposes the correct signature when message verification fails

Signing cookies is an application security feature that adds a digital signature to cookie data to verify its authenticity and integrity. The signature helps prevent malicious actors from modifying the cookie value, which can lead to security vulnerabilities and exploitation. Apache Hive’s servic...

Apache Hive and Spark: CookieSigner exposes the correct signature when message verification fails

Signing cookies is an application security feature that adds a digital signature to cookie data to verify its authenticity and integrity. The signature helps prevent malicious actors from modifying the cookie value, which can lead to security vulnerabilities and exploitation. Apache Hive’s servic...

CVE-2024-23945

Signing cookies is an application security feature that adds a digital signature to cookie data to verify its authenticity and integrity. The signature helps prevent malicious actors from modifying the cookie value, which can lead to security vulnerabilities and exploitation. Apache Hive’s servic...

CVE-2024-23945 Apache Hive, Apache Spark, Apache Spark: CookieSigner exposes the correct signature when message verification fails

Signing cookies is an application security feature that adds a digital signature to cookie data to verify its authenticity and integrity. The signature helps prevent malicious actors from modifying the cookie value, which can lead to security vulnerabilities and exploitation. Apache Hive’s servic...

CVE-2024-23945 Apache Hive, Apache Spark, Apache Spark: CookieSigner exposes the correct signature when message verification fails

Signing cookies is an application security feature that adds a digital signature to cookie data to verify its authenticity and integrity. The signature helps prevent malicious actors from modifying the cookie value, which can lead to security vulnerabilities and exploitation. Apache Hive’s servic...

CVE-2024-23945

CVE-2024-23945 → CookieSigner exposes the correct cookie signature to end users when a signature mismatch occurs. Affected: Hive service component and Spark Hive-ThriftServer (versions tied to HIVE-9710 1.2.0 and SPARK-14987 2.0.0). Root cause: flawed CookieSigner logic allows exposure of the sig...

CVE-2024-23945 Apache Hive, Apache Spark, Apache Spark: CookieSigner exposes the correct signature when message verification fails

Signing cookies is an application security feature that adds a digital signature to cookie data to verify its authenticity and integrity. The signature helps prevent malicious actors from modifying the cookie value, which can lead to security vulnerabilities and exploitation. Apache Hive’s servic...

Apache Hive和Apache Spark 安全漏洞

Apache Hive and Apache Spark are both products of the Apache Foundation, USA.Apache Hive is a suite of data warehouse software based on Hadoop Distributed Systems Infrastructure. The software provides a data integration approach and a high-level query language to support large-scale data analysis...

Time-of-check Time-of-use (TOCTOU) Race Condition

Overview mlflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. Affected versions of this package are vulnerable to Time-of-check Time-of-use TOCTOU Race Condition due to excessive...

PYSEC-2024-224

Excessive directory permissions in MLflow leads to local privilege escalation when using sparkudf. This behavior can be exploited by a local attacker to gain elevated permissions by using a ToCToU attack. The issue is only relevant when the sparkudf MLflow API is called...

MLflow 安全漏洞

MLflow is an open source platform from MLflow that simplifies machine learning development, including tracking experiments, packaging code into repeatable runs, and sharing and deploying models. A security vulnerability exists in MLflow that stems from excessive directory permissions that can lea...

PT-2024-21667 · Mlflow · Mlflow

Name of the Vulnerable Software and Affected Versions: MLflow affected versions not specified Description: The issue concerns excessive directory permissions in MLflow, which can lead to local privilege escalation when using spark udf. This behavior can be exploited by a local attacker to gain...

GHSA-G8M5-722R-8WHQ vulnerabilities

Vulnerabilities for packages: cassandra-reaper, kafka, solr, zookeeper, apache-tika, cloudwatch-exporter, spark, celeborn, zookeeper-fips, druid, strimzi-kafka-operator, confluent-kafka, apache-nifi, spark-fips, confluent-kafka-jre-bcfips...

CVE-2024-8184 vulnerabilities

Vulnerabilities for packages: cassandra-reaper, kafka, solr, zookeeper, apache-tika, cloudwatch-exporter, spark, celeborn, zookeeper-fips, druid, strimzi-kafka-operator, confluent-kafka, apache-nifi, spark-fips, confluent-kafka-jre-bcfips...

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...

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...