1099 matches found
CVE-2025-54920 vulnerabilities
Vulnerabilities for packages: spark-fips...
CLEANSTART-2026-NV84668 Security fixes for ghsa-84h7-rjj3-6jx4, ghsa-vc5p-v9hr-52mj applied in versions: 4.1.1-r1
Multiple security vulnerabilities affect the spark-sc213-jdk17-py314 package. These issues are resolved in later releases. See references for individual vulnerability details...
CLEANSTART-2026-NA08955 Security fixes for ghsa-84h7-rjj3-6jx4, ghsa-vc5p-v9hr-52mj applied in versions: 4.1.1-r1
Multiple security vulnerabilities affect the spark-sc213-jdk17-py311 package. These issues are resolved in later releases. See references for individual vulnerability details...
CVE-2026-33870 vulnerabilities
Vulnerabilities for packages: kserve-modelmesh, apicurio-registry, zipkin, druid, apache-camel-karavan-devmode, elasticsearch-fips, flyway, opensearch, knative-kafka-broker, management-api-for-apache-cassandra-5.0, trino, elasticsearch, infinispan, grpc-java-fips, opensearch-fips, wavefront-proxy...
CVE-2025-60012
Malicious configuration can lead to unauthorized file access in Apache Livy. This issue affects Apache Livy 0.7.0 and 0.8.0 when connecting to Apache Spark 3.1 or later. A request that includes a Spark configuration value supported from Apache Spark version 3.1 can lead to users gaining access to...
Apache Livy Input Validation Error Vulnerability
Apache Livy is the United States Apache Apache Foundation, an application server . Provides support for programmatic , fault-tolerant , multi-tenant submission of Spark jobs from Web, mobile applications . Apache Livy suffers from an input validation error vulnerability. The vulnerability stems...
Apache Spark Deserialization Vulnerability
Apache Spark is a large-scale data processing engine that supports acyclic data streaming and in-memory computing from the Apache Foundation. Apache Spark suffers from a deserialization vulnerability. The vulnerability stems from the Spark History Web UI's overly lax Jackson deserialization of...
BIT-SPARK-2025-54920 Apache Spark: Spark History Server Code Execution Vulnerability
This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue. Summary Apache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson...
CVE-2025-54920
Apache Spark contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson deserialization of event log data. This allows an attacker with access to the Spark event logs directory to inject malicious JSON payloads that trigger deserialization of arbitrary...
EUVD-2025-208669
This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue. Summary Apache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson...
Apache Spark: Spark History Server Code Execution Vulnerability
This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue. Summary Apache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson...
GHSA-JWP6-CVJ8-FW65 Apache Spark: Spark History Server Code Execution Vulnerability
This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue. Summary Apache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson...
CVE-2025-54920
This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue. Summary Apache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson...
Exploit for CVE-2025-60012
For educational and security research purposes only. Do not...
Deserialization of Untrusted Data
Overview org.apache.spark:spark-core2.12 is an unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools...
Deserialization of Untrusted Data
Overview Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the Jackson implementation in the Spark History Server web UI. An attacker who can write event logs can achieve code execution by injecting malicious JSON payloads into event log files, which are the...
CVE-2025-54920 Apache Spark: Spark History Server Code Execution Vulnerability
This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue. Summary Apache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson...
CVE-2025-54920
This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue. Summary Apache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson...
CVE-2025-54920 Apache Spark: Spark History Server Code Execution Vulnerability
This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue. Summary Apache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson...
CVE-2025-54920
The CVE-2025-54920 entry describes a code execution vulnerability in Apache Spark prior to 3.5.7 and 4.0.1, originating from the Spark History Server’s oversized Jackson deserialization of event log data. The issue uses Jackson polymorphic deserialization with @JsonTypeInfo.Id.CLASS on SparkListe...