Apache Airflow Providers Apache SparkWeb server / proxy · Apache
CVE-2023-40272
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedApache 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.
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · high confidenceApache Airflow Spark Provider versions before 4.1.3 contain a vulnerability in connection parameter handling that allows an attacker to inject malicious parameters during connection establishment, enabling arbitrary file read on the Airflow server. This is a path traversal or improper input validation issue in the Spark hook connection logic.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.
NVD · CPE data
Apache Airflow Providers Apache SparkWeb server / proxy
< 4.1.3CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Network
- Complexity
- Low
- Privileges
- None
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- None
- Availability
- None
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
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Identify installed Spark Provider versionRun 'pip show apache-airflow-providers-spark' or check your requirements file/pip freeze output for the apache-airflow-providers-spark package versionAffected if Version is missing from pip show or the reported version is below 4.1.3
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Confirm Spark connections exist in AirflowQuery the Airflow metadata database: SELECT * FROM connection WHERE conn_type = 'spark'; or use 'airflow connections list' command to list all configured connectionsAffected if Any Spark connections are configured in Airflow with conn_type 'spark'
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Detect Spark hook usage in DAGsSearch your DAGs directory for imports of providers.spark.hooks or usage of SparkHook, SparkSqlHook, or similar hook classes from the Spark providerAffected if DAGs import or use Spark hooks from the apache-airflow-providers-spark package
Your environment is affected if the installed apache-airflow-providers-spark version is below 4.1.3 AND you have Spark connections configured or DAGs using Spark hooks from this provider.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
dbcve · scoped4.1.3
Upgrade Apache Airflow Spark Provider to version 4.1.3 or later. Before upgrading in production, validate the upgrade in a non-production environment to ensure compatibility with existing DAGs and Spark connections.
4.1.3 or later
- Check current installed version of apache-airflow-providers-spark package using: pip show apache-airflow-providers-spark or pip list | grep airflow-spark
- Upgrade the package to version 4.1.3 or later using: pip install --upgrade apache-airflow-providers-spark>=4.1.3
- Verify the upgrade was successful by running: pip show apache-airflow-providers-spark and confirming the version is 4.1.3 or higher
- Restart any Airflow web servers, schedulers, or workers to ensure the new provider version is loaded
Generated from the published advisory — verify against the referenced sources before acting.
Fix this in Apache Airflow Providers Apache Spark
Scoped from the published advisory
- Consultation2.0 h
- Implementation2.0 h
- Testing3.0 h
- Review / QA1.0 h
An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $2,224.
Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2023-40272 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2023-40272 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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