# pyspark (PyPI) vulnerabilities

Source: https://junglewise.ai/threats/technologies/pyspark  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Updated: 13 November 2026, 03:07 UTC. Rebuilt every hour.  
Data: https://junglewise.ai/threats/technologies/pyspark.json  
License: CC BY 4.0 with a link back

Junglewise Threat Intelligence has tracked 13 vulnerabilities in pyspark (PyPI): 0 in the last 7 days and 1 in the last 90 days, 1 of them critical and 1 exploited in the wild. The most recent, CVE-2026-32773, was published on 2 September 2026. Nothing was published in the last eight weeks.

## Counts

- Last 7 days: 0
- Last 30 days: 0
- Last 90 days: 1
- All time: 13 (1 critical, 1 exploited in the wild)

## About pyspark (PyPI)

The Python interface for Apache Spark, providing an API for distributed data processing.

## Latest pyspark (PyPI) vulnerabilities

- [CVE-2026-32773: Apache Spark History Server XSS in job names](https://junglewise.ai/threats/cve-2026-32773-apache-spark-history-server-xss-in-job-names) (medium, CVSS 6.1, published 2 Sep 2026)
- [CVE-2025-55039: Apache Spark Inadequate Encryption Strength in RPC Communication](https://junglewise.ai/threats/cve-2025-55039-apache-spark-inadequate-encryption-strength-in-rpc-communication) (medium, CVSS 6.5, published 15 Oct 2025)
- [CVE-2023-32007: Apache Spark UI vulnerable to Command Injection](https://junglewise.ai/threats/cve-2023-32007-apache-spark-ui-vulnerable-to-command-injection) (low, CVSS 3.1, published 2 May 2023)
- [CVE-2023-22946: Apache Spark privilege escalation via classpath injection](https://junglewise.ai/threats/cve-2023-22946-apache-spark-privilege-escalation-via-classpath-injection) (low, CVSS 3.1, published 17 Apr 2023)
- [CVE-2022-31777: Apache Spark vulnerable to Log Injection](https://junglewise.ai/threats/cve-2022-31777-apache-spark-vulnerable-to-log-injection) (low, CVSS 3.1, published 1 Nov 2022)
- [CVE-2022-33891: Apache Spark OS command injection in Spark UI via impersonation](https://junglewise.ai/threats/cve-2022-33891-apache-spark-os-command-injection-in-spark-ui-via-impersonation) (critical, exploited in the wild, CVSS 8.8, published 19 Jul 2022)
- [CVE-2021-38296: PYSEC-2022-186 - Apache Spark supports end-to-end encryption of RPC connections via "spark.authenticate" and…](https://junglewise.ai/threats/cve-2021-38296-authentication-bypass-by-capture-replay-in-apache-spark) (low, CVSS 3.1, published 10 Mar 2022)
- [CVE-2020-9480: Improper Authentication in Apache Spark](https://junglewise.ai/threats/cve-2020-9480-improper-authentication-in-apache-spark) (low, CVSS 3.1, published 23 Jun 2020)
- [PYSEC-2019-44 - Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if…](https://junglewise.ai/threats/pysec-2019-44-prior-to-spark-2-3-3-in-certain-situations-spark-would-4f667101) (info, published 7 Aug 2019)
- [CVE-2019-10099: PYSEC-2019-114 - Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even…](https://junglewise.ai/threats/cve-2019-10099-sensitive-data-written-to-disk-unencrypted-in-spark) (low, CVSS 3, published 7 Aug 2019)
- [CVE-2018-11760: Pyspark User Impersonation Vulnerability](https://junglewise.ai/threats/cve-2018-11760-pyspark-user-impersonation-vulnerability) (low, CVSS 3, published 4 Feb 2019)
- [CVE-2018-1334: Exposure of Sensitive Information to an Unauthorized Actor in Apache Spark](https://junglewise.ai/threats/cve-2018-1334-exposure-of-sensitive-information-to-an-unauthorized-actor-in) (low, CVSS 3, published 12 Jul 2018)
- [CVE-2017-12612: Apache Spark Deserialization of Untrusted Data vulnerability](https://junglewise.ai/threats/cve-2017-12612-apache-spark-deserialization-of-untrusted-data-vulnerability) (low, CVSS 3, published 13 Sep 2017)

## Most severe pyspark (PyPI) vulnerabilities

- [CVE-2022-33891: Apache Spark OS command injection in Spark UI via impersonation](https://junglewise.ai/threats/cve-2022-33891-apache-spark-os-command-injection-in-spark-ui-via-impersonation) (critical, exploited in the wild, CVSS 8.8, published 19 Jul 2022)
- [CVE-2025-55039: Apache Spark Inadequate Encryption Strength in RPC Communication](https://junglewise.ai/threats/cve-2025-55039-apache-spark-inadequate-encryption-strength-in-rpc-communication) (medium, CVSS 6.5, published 15 Oct 2025)
- [CVE-2026-32773: Apache Spark History Server XSS in job names](https://junglewise.ai/threats/cve-2026-32773-apache-spark-history-server-xss-in-job-names) (medium, CVSS 6.1, published 2 Sep 2026)
- [CVE-2023-32007: Apache Spark UI vulnerable to Command Injection](https://junglewise.ai/threats/cve-2023-32007-apache-spark-ui-vulnerable-to-command-injection) (low, CVSS 3.1, published 2 May 2023)
- [CVE-2020-9480: Improper Authentication in Apache Spark](https://junglewise.ai/threats/cve-2020-9480-improper-authentication-in-apache-spark) (low, CVSS 3.1, published 23 Jun 2020)
- [CVE-2021-38296: PYSEC-2022-186 - Apache Spark supports end-to-end encryption of RPC connections via "spark.authenticate" and…](https://junglewise.ai/threats/cve-2021-38296-authentication-bypass-by-capture-replay-in-apache-spark) (low, CVSS 3.1, published 10 Mar 2022)
- [CVE-2022-31777: Apache Spark vulnerable to Log Injection](https://junglewise.ai/threats/cve-2022-31777-apache-spark-vulnerable-to-log-injection) (low, CVSS 3.1, published 1 Nov 2022)
- [CVE-2023-22946: Apache Spark privilege escalation via classpath injection](https://junglewise.ai/threats/cve-2023-22946-apache-spark-privilege-escalation-via-classpath-injection) (low, CVSS 3.1, published 17 Apr 2023)
- [CVE-2019-10099: PYSEC-2019-114 - Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even…](https://junglewise.ai/threats/cve-2019-10099-sensitive-data-written-to-disk-unencrypted-in-spark) (low, CVSS 3, published 7 Aug 2019)
- [CVE-2017-12612: Apache Spark Deserialization of Untrusted Data vulnerability](https://junglewise.ai/threats/cve-2017-12612-apache-spark-deserialization-of-untrusted-data-vulnerability) (low, CVSS 3, published 13 Sep 2017)

## Vulnerabilities per week

Nothing was published in the last eight weeks.

| Week of | Vulns | Critical | Exploited |
| --- | --- | --- | --- |
| 17 Aug 2026 | 0 | 0 | 0 |
| 24 Aug 2026 | 0 | 0 | 0 |
| 31 Aug 2026 | 1 | 0 | 0 |
| 7 Sep 2026 | 0 | 0 | 0 |
| 14 Sep 2026 | 0 | 0 | 0 |
| 21 Sep 2026 | 0 | 0 | 0 |
| 28 Sep 2026 | 0 | 0 | 0 |
| 5 Oct 2026 | 0 | 0 | 0 |
| 12 Oct 2026 | 0 | 0 | 0 |
| 19 Oct 2026 | 0 | 0 | 0 |
| 26 Oct 2026 | 0 | 0 | 0 |
| 2 Nov 2026 | 0 | 0 | 0 |
| 9 Nov 2026 | 0 | 0 | 0 |

## Other PyPI technologies

- [tensorflow (PyPI)](https://junglewise.ai/threats/technologies/pypi-tensorflow): 435 vulnerabilities
- [tensorflow-cpu (PyPI)](https://junglewise.ai/threats/technologies/tensorflow-cpu): 430 vulnerabilities
- [tensorflow-gpu (PyPI)](https://junglewise.ai/threats/technologies/tensorflow-gpu): 427 vulnerabilities
- [open-webui (PyPI)](https://junglewise.ai/threats/technologies/open-webui): 177 vulnerabilities
- [Django (PyPI)](https://junglewise.ai/threats/technologies/django): 173 vulnerabilities
- [apache-airflow (PyPI)](https://junglewise.ai/threats/technologies/apache-airflow): 159 vulnerabilities
- [pillow (PyPI)](https://junglewise.ai/threats/technologies/pillow): 125 vulnerabilities
- [praisonai (PyPI)](https://junglewise.ai/threats/technologies/pypi-praisonai): 120 vulnerabilities
- [vllm (PyPI)](https://junglewise.ai/threats/technologies/pypi-vllm): 117 vulnerabilities
- [plone (PyPI)](https://junglewise.ai/threats/technologies/pypi-plone): 101 vulnerabilities
- [mlflow (PyPI)](https://junglewise.ai/threats/technologies/mlflow): 88 vulnerabilities
- [picklescan (PyPI)](https://junglewise.ai/threats/technologies/picklescan): 86 vulnerabilities

## Sources

NVD, GitHub Security Advisories, OSV, the CISA Known Exploited Vulnerabilities catalog, FIRST EPSS and vendor advisories. Rebuilt every hour. Cite as: Junglewise Threat Intelligence, "pyspark (PyPI) vulnerabilities", https://junglewise.ai/threats/technologies/pyspark, 13 November 2026.
