CVE-2023-40195
published 2023-08-28CVE-2023-40195: Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation Apache Airflow Spark…
PriorityP357high8.8CVSS 3.1
AVNACLPRLUINSUCHIHAH
EPSS
1.41%
69.8th percentile
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
3 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| apache | airflow_spark_provider | < 4.1.3 | 4.1.3 |
| apache | apache-airflow-providers-apache-spark | >= 0 < 4.1.3 | 4.1.3 |
| apache_software_foundation | apache_airflow_spark_provider | < 4.1.3 | 4.1.3 |
Stop checking back — get the weekly exploitation signal.
Every Monday: what got weaponized or added to CISA KEV in the last seven days — each CVE cross-linked to its PoC, Nuclei template, and detection rule. Free, one email a week, unsubscribe in one click.
GHSA
Apache Airflow vulnerable arbitrary code execution via Spark server
ghsa·2023-08-28
CVE-2023-40195 [HIGH] CWE-502 Apache Airflow vulnerable arbitrary code execution via Spark server
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
OSV
CVE-2023-40195: Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation Apache Airflow
osv·2023-08-28
CVE-2023-40195 CVE-2023-40195: Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation Apache Airflow
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
OSV
Apache Airflow vulnerable arbitrary code execution via Spark server
osv·2023-08-28
CVE-2023-40195 [HIGH] Apache Airflow vulnerable arbitrary code execution via Spark server
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
No detection rules found.
No public exploits indexed.
No writeups or analysis indexed.
2023-08-28
Published