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EPSS 0.7%top 51%

CVE-2026-45360: CWE-502: Deserialization of Untrusted Data in Apache Software Foundation Apache Airflow

0
High
VulnerabilityCVE-2026-45360cvecve-2026-45360cwe-502
Published: 06/01/2026 (06/01/2026, 07:48:13 UTC)
Source: CVE Database V5
Vendor/Project: Apache Software Foundation
Product: Apache Airflow

Description

Apache Airflow versions prior to 3.2.2 contain a deserialization vulnerability in the scheduler's deadline-reference decoder. This flaw allows a DAG author to embed a serialized object that causes the scheduler to import and instantiate arbitrary classes without restriction. This can lead to unauthorized code execution within the scheduler process, especially in deployments where DAG-author code is less trusted than the scheduler. Users should upgrade to Apache Airflow 3.2.2 or later to address this issue.

CVSS v3.1

Score 7.3high

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
Low
Availability
Low
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L

Affected software

apache-airflow
pkg:pypi/apache-airflow
Affected versions
<3.2.2

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 07/10/2026, 09:55:06 UTC

Technical Analysis

CVE-2026-45360 is a deserialization of untrusted data vulnerability (CWE-502) in Apache Airflow's scheduler component. The scheduler-side deadline-reference decoder (`SerializedCustomReference.deserialize_reference`) imports and dispatches arbitrary class paths from DAG-author-controlled serialized state without an allowlist or plugin registry gate. This allows a DAG author to craft a custom `DeadlineReference` serialized object that names an attacker-controlled module path, causing the scheduler to import and instantiate that class with a live SQLAlchemy session attached. This vulnerability affects deployments where DAG-author code is less trusted than the scheduler process, such as default single-host setups. The issue is fixed in Apache Airflow 3.2.2 and later.

Potential Impact

An attacker with the ability to supply DAG-author code that reaches the scheduler can execute arbitrary code within the scheduler process by exploiting the deserialization flaw. This can lead to unauthorized access, data manipulation, or denial of service. The vulnerability impacts confidentiality, integrity, and availability of the affected Airflow deployment.

Mitigation Recommendations

A fix is available in Apache Airflow version 3.2.2 and later. Users should upgrade to version 3.2.2 or newer to remediate this vulnerability. No other official mitigations or temporary fixes are documented. Patch status is confirmed by the vendor advisory recommending upgrade to 3.2.2.

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Technical Details

Data Version
5.2
Assigner Short Name
apache
Date Reserved
2026-05-11T22:40:03.868Z
Cvss Version
null
State
PUBLISHED
Remediation Level
null

Threat ID: 6a1d4e75e29bf47b50cd4a05

Added to database: 06/01/2026, 09:18:45 UTC

Last enriched: 07/10/2026, 09:55:06 UTC

Last updated: 07/31/2026, 19:22:59 UTC

Views: 74

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