# PYSEC-2019-44 - Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true.

Source: https://junglewise.ai/threats/pysec-2019-44-prior-to-spark-2-3-3-in-certain-situations-spark-would-4f667101  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2019-08-07  
License: CC BY 4.0 with a link back

Severity: info · Published 2019-08-07

Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs.

Technologies: [pyspark (PyPI)](https://junglewise.ai/threats/technologies/pyspark). Vendors: [PyPI](https://junglewise.ai/threats/vendors/pypi).

## Quick answers

**Is This vulnerability exploited in the wild?** No. Junglewise Threat Intelligence has no report of This vulnerability being exploited in the wild.

**How severe is This vulnerability?** Informational severity, published 7 August 2019.

**Which products and versions are affected?** pyspark (PyPI) ECOSYSTEM:introduced=0,fixed=2.3.3.

**Is there a fix for This vulnerability?** Yes. pyspark (PyPI): upgrade to 2.3.3 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

**Am I affected?** Check whether you run pyspark (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## How to fix

- pyspark (PyPI): upgrade to 2.3.3 or later

  ```sh
  pip install "pyspark>=2.3.3"
  ```


## Affected products

- pyspark (PyPI) ECOSYSTEM:introduced=0,fixed=2.3.3

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