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CVE-2023-40195

UNKNOWN
Published 2023-08-28T07:50:01.211Z
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CVSS Score

V3.1
8.8
/10
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Base Score Metrics
Exploitability: N/A Impact: N/A

EPSS Score

v2025.03.14
0.025
probability
of exploitation in the wild

There is a 2.5% chance that this vulnerability will be exploited in the wild within the next 30 days.

Updated: 2025-06-25
Exploit Probability
Percentile: 0.847
Higher than 84.7% of all CVEs

Attack Vector Metrics

Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED

Impact Metrics

Confidentiality
HIGH
Integrity
HIGH
Availability
HIGH

Description

Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation Apache Airflow Spark Provider.

When the Apache Spark provider is installed on an Airflow deployment, an Airflow user that is authorized to configure Spark hooks can effectively run arbitrary code on the Airflow node by pointing it at a malicious Spark server. Prior to version 4.1.3, this was not called out in the documentation explicitly, so it is possible that administrators provided authorizations to configure Spark hooks without taking this into account. We recommend administrators to review their configurations to make sure the authorization to configure Spark hooks is only provided to fully trusted users.

To view the warning in the docs please visit  https://airflow.apache.org/docs/apache-airflow-providers-apache-spark/4.1.3/connections/spark.html

Available Exploits

No exploits available for this CVE.

Related News

No news articles found for this CVE.

Affected Products

Apache Software Foundation

Apache Airflow Spark Provider

Affected Versions:

0

GitHub Security Advisories

Community-driven vulnerability intelligence from GitHub

✓ GitHub Reviewed HIGH

Apache Airflow vulnerable arbitrary code execution via Spark server

GHSA-8q28-pw9g-w82c

Advisory Details

Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation Apache Airflow Spark Provider. When the Apache Spark provider is installed on an Airflow deployment, an Airflow user that is authorized to configure Spark hooks can effectively run arbitrary code on the Airflow node by pointing it at a malicious Spark server. Prior to version 4.1.3, this was not called out in the documentation explicitly, so it is possible that administrators provided authorizations to configure Spark hooks without taking this into account. We recommend administrators to review their configurations to make sure the authorization to configure Spark hooks is only provided to fully trusted users. To view the warning in the docs please visit  https://airflow.apache.org/docs/apache-airflow-providers-apache-spark/4.1.3/connections/spark.html

Affected Packages

PyPI apache-airflow-providers-apache-spark
ECOSYSTEM: ≥0 <4.1.3

CVSS Scoring

CVSS Score

7.5

CVSS Vector

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

References

ADVISORY https://nvd.nist.gov/vuln/detail/CVE-2023-40195
WEB https://github.com/apache/airflow/pull/33233
WEB https://github.com/apache/airflow/commit/6850b5c777fa515e110ad1daa85242209a8ec6c0
PACKAGE https://github.com/apache/airflow
WEB https://github.com/pypa/advisory-database/tree/main/vulns/apache-airflow-providers-apache-spark/PYSEC-2023-156.yaml
WEB https://lists.apache.org/thread/fzy95b1d6zv31j5wrx3znhzcscck2o24

Advisory provided by GitHub Security Advisory Database. Published: August 28, 2023, Modified: September 6, 2024

References

https://github.com/apache/airflow/pull/33233
https://lists.apache.org/thread/fzy95b1d6zv31j5wrx3znhzcscck2o24
Published: 2023-08-28T07:50:01.211Z
Last Modified: 2025-04-23T16:19:19.884Z
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