CVE-2023-40195: Apache airflow providers apache spark Apache Airflow Vulnerable Arbitrary Code Vulnerability
HIGHCVE-2023-40195 is a HIGH (CVSS 8.8) apache airflow vulnerable arbitrary code vulnerability (CWE-502: Deserialization of Untrusted Data) affecting Apache airflow providers apache spark libraries in the PyPI ecosystem. The issue involves apache airflow vulnerable arbitrary code execution via spark server. Remediation is available by upgrading affected packages to version 4.1.3.
CVE-2023-40195 at a Glance
Security Impact
CVSS: 8.8
The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H).
How to Fix CVE-2023-40195
To remediate this vulnerability, upgrade all affected Apache airflow providers apache spark dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
pip install apache-airflow-providers-apache-spark>=4.1.3Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show apache-airflow-providers-apache-sparkHow to Check if You Are Affected
To determine whether your Python environment is affected by CVE-2023-40195, inspect your installed packages using pip:
pip show apache-airflow-providers-apache-sparkAnalyze the terminal output to locate any version of Apache airflow providers apache spark in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 4.1.3), your application is affected.
Note: The pip show apache-airflow-providers-apache-spark command checks currently installed packages in your active Python environment.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under CWE-502: Deserialization of Untrusted Data, where the product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid. In Apache airflow providers apache spark, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
CVE-2023-40195 Affected Apache airflow providers apache spark Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
apache-airflow-providers-apache-spark
|
PyPI |
< 4.1.3
|
4.1.3
|
References
Frequently Asked Questions
What is CVE-2023-40195?
Which Apache airflow providers apache spark versions are affected?
What version fixes CVE-2023-40195?
Is apache-airflow-providers-apache-spark affected?
What is the CVSS score of CVE-2023-40195?
What CWE is associated with CVE-2023-40195?
How can I check PyPI dependencies for CVE-2023-40195?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-8q28-pw9g-w82c",
"modified" : "2024-09-06T18:08:31Z",
"published" : "2023-08-28T09:30:20Z",
"aliases" : [ "CVE-2023-40195" ],
"summary" : "Apache Airflow vulnerable arbitrary code execution via Spark server",
"details" : "Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation Apache Airflow Spark Provider.\n\nWhen 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.\n\nTo view the warning in the docs please visit https://airflow.apache.org/docs/apache-airflow-providers-apache-spark/4.1.3/connections/spark.html \n\n",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H"
}, {
"type" : "CVSS_V4",
"score" : "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"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "apache-airflow-providers-apache-spark"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"fixed" : "4.1.3"
} ]
} ]
} ],
"references" : [ {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2023-40195"
}, {
"type" : "WEB",
"url" : "https://github.com/apache/airflow/pull/33233"
}, {
"type" : "WEB",
"url" : "https://github.com/apache/airflow/commit/6850b5c777fa515e110ad1daa85242209a8ec6c0"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/apache/airflow"
}, {
"type" : "WEB",
"url" : "https://github.com/pypa/advisory-database/tree/main/vulns/apache-airflow-providers-apache-spark/PYSEC-2023-156.yaml"
}, {
"type" : "WEB",
"url" : "https://lists.apache.org/thread/fzy95b1d6zv31j5wrx3znhzcscck2o24"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-502" ],
"severity" : "HIGH",
"github_reviewed" : true,
"github_reviewed_at" : "2023-08-30T20:13:17Z",
"nvd_published_at" : "2023-08-28T08:15:14Z"
}
}