Arbitrary Code Execution The advisory has been revoked - it doesn't affect any version of package pyspark (opens in a new tab)
Threat Intelligence
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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Start learning- Snyk IDSNYK-PYTHON-PYSPARK-3021134
- published17 Sept 2021
- disclosed21 Nov 2018
- creditUnknown
Introduced: 21 Nov 2018
CVE-2018-17190 (opens in a new tab)How to fix?
There is no fixed version for pyspark.
Amendment
This was deemed not a vulnerability.
Overview
pyspark is a fast and general cluster computing system for Big Data.
Affected versions of this package are vulnerable to Arbitrary Code Execution. The standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute code too.
Note that this does not affect standalone clusters with authentication enabled. While the master host typically has less outbound access to other resources than a worker, the execution of code on the master is nevertheless unexpected.
Note
This was deemed not a vulnerability as PySpark doesn't include the standalone resource manager that is vulnerable to this vulnerability.