Apache Airflow Spark Provider
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cpe:2.3:a:apache_software_foundation:apache_airflow_spark_provider:*:*:*:*:*:*:*:*
part: a version: * update: *
| Vendor | Apache Software Foundation (f563070d-e18f-561b-b86c-987936937e8a) |
|---|---|
| Product | Apache Airflow Spark Provider (ef4fe24b-45ac-558a-8f9a-ae835d900cdc) |
| Edition | * |
| Language | * |
| Software edition | * |
| Target software | * |
| Target hardware | * |
| Other | * |
| Notes | Imported from gcve-enriched-dumps CVE data |
PURL mappings
| PURL | Source | Last updated |
|---|---|---|
| No PURL mappings for this CPE yet. | ||
Vulnerability references
| Identifier | cpeApplicability | Submitted | db.gcve.eu details | Rationale |
|---|---|---|---|---|
CVE:CVE-2023-40272 |
vulnerable | 2026-06-08 06:09:41.926363 |
Apache Airflow Spark Provider Arbitrary File Read via JDBC
Apache Airflow Spark Provider, versions before 4.1.3, is affected by a vulnerability that allows an attacker to pass in malicious parameters when establishing a connection giving an opportunity to read files on the Airflow server.
It is recommended to upgrade to a version that is not affected.
Published: 2023-08-17T13:52:30.647Z
Updated: 2025-02-13T17:07:44.473Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2023-40195 |
vulnerable | 2026-06-08 06:09:41.424186 |
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
Published: 2023-08-28T07:50:01.211Z
Updated: 2025-04-23T16:19:19.884Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2023-28710 |
vulnerable | 2026-06-08 06:02:35.182594 |
Apache Airflow Spark Provider Arbitrary File Read via JDBC
Improper Input Validation vulnerability in Apache Software Foundation Apache Airflow Spark Provider.This issue affects Apache Airflow Spark Provider: before 4.0.1.
Published: 2023-04-07T14:55:44.450Z
Updated: 2024-10-22T15:30:02.808Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2022-40954 |
vulnerable | 2026-06-08 05:48:28.336358 |
Apache Airflow Spark Provider RCE that bypass restrictions to read arbitrary files
Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an attacker to read arbtrary files in the task execution context, without write access to DAG files. This issue affects Spark Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Spark Provider is installed (Spark Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Spark Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Spark Provider installed).
Published: 2022-11-22T00:00:00.000Z
Updated: 2025-04-29T13:50:28.084Z |
Imported from gcve-enriched-dumps CVE data |
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