CVE-2025-54550 Overview
CVE-2025-54550 is a Code Injection vulnerability affecting Apache Airflow's example documentation code. The example_xcom that was included in Airflow documentation implemented an unsafe pattern of reading values from XCom in a way that could be exploited to allow a UI user who had access to modify XComs to perform arbitrary execution of code on the worker.
Critical Impact
Authenticated users with XCom modification privileges can achieve arbitrary code execution on Airflow workers, potentially compromising the entire data pipeline infrastructure.
Affected Products
- Apache Airflow (versions prior to 3.2.0 that implemented the vulnerable example pattern)
- Custom implementations following the example_xcom pattern from Airflow documentation
- Production environments where example DAGs were improperly enabled
Discovery Timeline
- April 15, 2026 - CVE-2025-54550 published to NVD
- April 16, 2026 - Last updated in NVD database
Technical Details for CVE-2025-54550
Vulnerability Analysis
This vulnerability stems from an insecure coding pattern demonstrated in the Airflow documentation's example_xcom example. The example code showed a method of reading values from XCom (Airflow's cross-communication mechanism between tasks) that lacked proper input validation and sanitization. When users with UI access modified XCom values, the vulnerable pattern would process these values in a way that enabled arbitrary code execution on the worker nodes.
The vulnerability is classified as CWE-94 (Improper Control of Generation of Code - Code Injection), which occurs when software constructs code segments using externally-influenced input from an upstream component without properly neutralizing special elements that could modify the syntax or behavior of the intended code segment.
While the original assessment noted this as a Low severity issue due to the high trust level of UI users, the potential for arbitrary code execution on worker nodes represents a significant security concern, particularly in multi-tenant environments or scenarios where UI access is granted more broadly.
Root Cause
The root cause of this vulnerability lies in the unsafe handling of XCom values within the example code. The example_xcom pattern demonstrated reading XCom values and using them in a context where they could influence code execution without proper validation. This created an avenue for code injection when a user with XCom modification privileges supplied malicious input.
The fundamental issue is that the example code trusted XCom values implicitly, treating user-controllable data as safe for code-level operations. This violates the security principle of treating all external input as potentially malicious.
Attack Vector
The attack vector for CVE-2025-54550 involves network-based exploitation requiring low privileges. An attacker must first gain access to the Airflow UI with permissions to modify XCom values. Once authenticated, the attacker can craft a malicious XCom value containing code injection payloads. When a task following the vulnerable example_xcom pattern reads and processes this XCom value, the injected code executes on the worker with the privileges of the Airflow worker process.
This attack does not require user interaction beyond the attacker's own actions and can result in high confidentiality and integrity impact on the affected worker systems.
Detection Methods for CVE-2025-54550
Indicators of Compromise
- Unusual XCom values containing code-like syntax, shell commands, or escape sequences in the Airflow metadata database
- Unexpected process spawning or network connections originating from Airflow worker nodes
- Anomalous modifications to XCom entries by users who don't typically interact with those DAGs
- Evidence of command execution artifacts in worker logs not associated with normal task operations
Detection Strategies
- Implement audit logging for all XCom modifications through the Airflow UI, capturing user identity and value changes
- Deploy runtime application self-protection (RASP) or endpoint detection on worker nodes to identify code injection attempts
- Create baseline profiles of normal XCom value patterns and alert on deviations containing potential injection payloads
- Review DAG code repositories for implementations following the vulnerable example_xcom pattern
Monitoring Recommendations
- Enable comprehensive logging for Airflow's web server component to track XCom modifications
- Monitor worker processes for unexpected child process creation or file system modifications
- Implement network segmentation monitoring to detect worker nodes making unusual outbound connections
- Configure SIEM rules to correlate XCom modification events with subsequent suspicious worker activity
How to Mitigate CVE-2025-54550
Immediate Actions Required
- Audit all production DAGs for implementations that follow the vulnerable example_xcom pattern
- Disable example DAGs in production environments if they were inadvertently enabled
- Review and restrict XCom modification privileges to only essential personnel
- Implement input validation for any code that reads and processes XCom values
Patch Information
Apache has addressed this vulnerability in the Airflow 3.2.0 documentation, which contains an improved version of the example with enhanced resilience against code injection. Users who have implemented DAGs following the previous example_xcom pattern should review the updated documentation and adjust their implementations accordingly.
Technical details and the fix can be found in the GitHub Pull Request #63200. Additional discussion is available on the Apache Mailing List and the Openwall OSS-Security Post.
Workarounds
- Implement strict input validation and sanitization for all XCom values before processing them in task code
- Use type checking and allowlisting approaches when consuming XCom data to ensure values conform to expected formats
- Consider using serialization formats like JSON with strict schema validation rather than evaluating raw XCom content
- Apply the principle of least privilege by restricting XCom modification capabilities to only necessary users
# Configuration example - Disable example DAGs in production
# Add to airflow.cfg or set as environment variable
export AIRFLOW__CORE__LOAD_EXAMPLES=False
# Or in airflow.cfg:
# [core]
# load_examples = False
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

