CVE-2026-25917: Apache Airflow RCE Vulnerability

CVE-2026-25917 Overview

CVE-2026-25917 is an insecure deserialization vulnerability in Apache Airflow that allows DAG Authors to craft malicious XCom payloads capable of executing arbitrary code in the webserver context. While DAG Authors are typically restricted from executing code directly on the webserver, this vulnerability bypasses those restrictions through specially crafted XCom data.

Critical Impact
Authenticated DAG Authors can achieve arbitrary code execution on the Apache Airflow webserver, potentially compromising the entire workflow orchestration infrastructure.

Affected Products

Apache Airflow versions prior to 3.2.0
Apache Airflow webserver component
Systems utilizing XCom for cross-task communication

Discovery Timeline

2026-04-18 - CVE CVE-2026-25917 published to NVD
2026-04-22 - Last updated in NVD database

Technical Details for CVE-2026-25917

Vulnerability Analysis

This vulnerability stems from improper handling of XCom (cross-communication) payloads in Apache Airflow. XCom is a mechanism that allows tasks to exchange messages or small amounts of data between DAG runs. The vulnerability exists because the webserver deserializes XCom data without adequate validation, allowing malicious payloads to be processed and executed.

When a DAG Author creates a task that pushes a specially crafted XCom value, the Airflow webserver processes this data during certain operations such as viewing task logs or XCom values through the web interface. The lack of proper sanitization during deserialization enables arbitrary code execution within the webserver's security context.

The attack requires authenticated access as a DAG Author, which is a privileged role in Airflow deployments. However, the vulnerability allows these users to escalate their privileges beyond their intended scope by executing code on the webserver itself.

Root Cause

The root cause is classified as CWE-502 (Deserialization of Untrusted Data). Apache Airflow's XCom mechanism accepts and deserializes data from DAG tasks without proper validation or sandboxing. When this potentially malicious serialized data reaches the webserver component, it is deserialized in an unsafe manner, allowing embedded code or object instantiations to execute with webserver privileges.

Attack Vector

The attack is network-accessible and requires high privileges (DAG Author role). An attacker with DAG Author credentials can:

Create a malicious DAG containing a task that pushes a crafted XCom payload
The payload contains serialized objects designed to execute arbitrary commands upon deserialization
When the webserver processes this XCom data (e.g., when an administrator views task details), the malicious payload executes
The attacker gains code execution within the webserver context, potentially accessing sensitive configuration, credentials, or other connected systems

The vulnerability allows attackers to bypass the intended privilege separation between DAG execution context and webserver context, escalating from task-level access to webserver-level access.

Detection Methods for CVE-2026-25917

Indicators of Compromise

Unusual XCom payloads containing serialized Python objects or encoded data
Unexpected process spawning from the Airflow webserver process
Anomalous network connections originating from the webserver component
Modified or suspicious DAG files with unusual XCom push operations

Detection Strategies

Monitor XCom table entries for unusually large or complex serialized payloads
Implement logging for all XCom read/write operations and correlate with webserver activity
Deploy application-layer monitoring to detect unauthorized code execution patterns
Review DAG submissions for suspicious serialization patterns or pickle-based payloads

Monitoring Recommendations

Enable verbose logging for the Airflow webserver component
Configure alerts for unexpected child processes spawned by the webserver
Implement file integrity monitoring on Airflow DAG directories
Monitor database queries to the XCom table for anomalous patterns

How to Mitigate CVE-2026-25917

Immediate Actions Required

Upgrade Apache Airflow to version 3.2.0 or later immediately
Audit existing DAGs for suspicious XCom usage patterns
Review and restrict DAG Author permissions to only trusted personnel
Consider implementing network segmentation for the Airflow webserver

Patch Information

Apache has released version 3.2.0 which addresses this vulnerability. The fix is documented in GitHub Pull Request #61641. Additional details are available through the Apache Mailing List Thread and the Openwall OSS Security Update.

Workarounds

Restrict DAG Author access to only highly trusted individuals until patching is complete
Implement additional network controls to isolate the Airflow webserver from sensitive resources
Consider disabling XCom functionality if not required for your workflow operations
Deploy a web application firewall with rules to inspect and block suspicious serialized payloads

bash

# Upgrade Apache Airflow to patched version
pip install apache-airflow==3.2.0

# Verify installed version
airflow version