CVE-2023-40195
Apache Airflow Spark Provider Deserialization Vulnerability RCE
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
Attack profile
How easy it is to exploit
- Attack vector
- Network
- Complexity
- Low
- Privileges needed
- Low
- User interaction
- None
What an attacker can affect
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Exploit likelihood
What each source reports
NVD Score used
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
- Record
CVE-2023-40195- CVSS 3.1
- 8.8 High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H - Weakness
- CWE-502, CWE-829
- Updated
- 2026-11-02
CVE List
Apache Airflow Spark Provider Deserialization Vulnerability RCE
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
- Record
CVE-2023-40195- CVSS 3.1
- 8.8 High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H - Weakness
- CWE-502, CWE-829
- Updated
- 2026-11-02
EUVDEUVD-2023-0008
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
- Record
EUVD-2023-0008- CVSS 3.1
- 8.8 High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H - Updated
- 2026-11-02
GitHub AdvisoriesGHSA-8q28-pw9g-w82c
Apache Airflow vulnerable arbitrary code execution via Spark server
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
- Record
GHSA-8q28-pw9g-w82c- CVSS 4.0
- 8.7 High
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N - CVSS 3.1
- 8.8 High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H - Weakness
- CWE-502
- Updated
- 2026-11-02
OSV
Apache Airflow Spark Provider Deserialization Vulnerability RCE
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
- Record
CVE-2023-40195- CVSS 3.1
- 8.8 High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H - Weakness
- CWE-502, CWE-829
- Updated
- 2026-11-02
OSVGHSA-8q28-pw9g-w82c
Apache Airflow vulnerable arbitrary code execution via Spark server
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
- Record
GHSA-8q28-pw9g-w82c- CVSS 4.0
- 8.7 High
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N - CVSS 3.1
- 8.8 High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H - Weakness
- CWE-502
- Updated
- 2026-11-02
OSVPYSEC-2023-156
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
- Record
PYSEC-2023-156- CVSS 3.1
- 8.8 High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H - Updated
- 2026-11-02
Affected products
Affected packages
| Package | Affected | Fixed |
|---|---|---|
apache-airflow-providers-apache-sparkPyPI |
before 4.1.3 | 4.1.3 |
apache-airflow-providers-apache-sparkPyPI |
before 4.1.3, plus listed versions 1.0.01.0.0b11.0.0b21.0.0rc11.0.1 Show 38 moreShow less1.0.1rc11.0.21.0.2rc11.0.31.0.3rc12.0.02.0.0rc12.0.0rc22.0.12.0.1rc12.0.22.0.2rc12.0.32.0.3rc12.1.02.1.0rc12.1.0rc22.1.12.1.1rc12.1.22.1.2rc12.1.32.1.3rc13.0.03.0.0rc13.0.0rc24.0.04.0.0rc14.0.14.0.1rc14.1.04.1.0rc14.1.0rc24.1.14.1.1rc14.1.24.1.2rc14.1.3rc1 |
4.1.3 |
History
| Recorded | Changed | Sources |
|---|---|---|
| first indexed | CVE List, EUVD, GitHub Advisories, NVD, OSV |
Dates are when Every CVE recorded each change. Upstream dates may differ.
In short
CVE-2023-40195 is a high vulnerability (CVSS 8.8) in Apache Airflow Spark Provider, published August 28, 2023. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 1.86%, the 79th percentile. Fixed in apache-airflow-providers-apache-spark 4.1.3.
References
github.com/apache/airflow/pull/33233
lists.apache.org/thread/fzy95b1d6zv31j5wrx3znhzcscck2o24
nvd.nist.gov/vuln/detail/CVE-2023-40195