CVE-2017-17836 Apache Airflow vulnerable to XSS
An experimental feature in Apache Airflow exposes authenticated cookies and database passwords, allowing attackers with limited access to steal credentials.
- Exploited in the wild
- Not known
- Login needed
- Not needed
- Attackable
- Over the internet
- Victim action needed
- Not needed
- Fix
- Available
What is CVE-2017-17836?
CVE-2017-17836 is a critical vulnerability in Apache Airflow, published on 23 Jan 2019. An attacker can exploit it over the internet without logging in, with no action from the victim.
Official description
In Apache Airflow 1.8.2 and earlier, an experimental Airflow feature displayed authenticated cookies, as well as passwords to databases used by Airflow. An attacker who has limited access to airflow, whether it be via XSS or by leaving a machine unlocked can exfiltrate all credentials from the system.
Weakness: CWE-255
Which versions are affected by CVE-2017-17836?
3 open source packages ship an affected version, including apache-airflow. It affects 1 product.
| Package | Affected | Fixed in |
|---|---|---|
apache-airflow PyPI | All versions | 1.9.0 |
apache-airflow PyPI | All versions | 1.9.0 |
apache-airflow PyPI | All versions | 1.9.0 |
Products include Apache Airflow.
How do I fix CVE-2017-17836?
Upgrade apache-airflow to 1.9.0 or later.
Is CVE-2017-17836 being exploited?
There is no known exploitation of CVE-2017-17836 in the wild and no public exploit code.
Other vulnerabilities in Apache Airflow
- CVE-2020-13927 Apache Airflow's Experimental API Authentication Bypass
- CVE-2020-11978 Apache Airflow Command Injection
- CVE-2026-33264 Apache Airflow: DAG author RCE on webserver via unrestricted import_string() in BaseSerialization.deserialize()
- CVE-2023-25754 Apache Airflow: Privilege escalation using airflow logs
- CVE-2023-22884 Apache Airflow, Apache Airflow MySQL Provider: Arbitrary file read via MySQL provider in Apache Airflow
Sources
Also known as GHSA-9gqg-3fxr-9hv7, PYSEC-2019-149.