Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applicationsUpgrade org.apache.spark:spark-core_2.12
to version 3.2.2 or higher.
org.apache.spark:spark-core_2.12 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 including Spark SQL for SQL and DataFrames, pandas API on Spark for pandas workloads, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing.
Affected versions of this package are vulnerable to Command Injection due to the usage of bash -c
in ShellBasedGroupsMappingProvider
. A code path in HttpSecurityFilter
can allow someone to perform impersonation by providing an arbitrary user name. This is only if ACLs
are enabled. It allows a malicious user to reach a permission check function that will ultimately build a Unix shell command based on their input and execute it.
Note:
CVE-2023-32007 was subsequently released to flag that v3.1.3
is vulnerable to CVE-2022-33891