CVE-2025-54550: Apache Airflow · Code Injection
Affects Apache AirflowSource CVE Database V5
Not known to be exploited · CVSS 8.1 High : upgrade to 3.2.0 soon.
Data as of 30 Oct 2026, 06:59 UTC
- EPSS
- 0.5% chance of exploitation in 30 days – higher than 47% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 3.2.0
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:NExploitation evidence
Disclosed: evidence found.
CVE published 15 Apr 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 29 Oct 2026.
What to do
Upgrade Apache Airflow to 3.2.0.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Apache Software FoundationApache Airflow | Affected
| Fixed in
|
AI-suggested
The vendor advisory states that the vulnerability does not affect production releases as example DAGs are not enabled by default. Users who have implemented the vulnerable example pattern should update their implementations following the improved example in Airflow 3.2.0 documentation. No additional urgent action is required if example DAGs are not used.
Description
The example example_xcom that was included in airflow documentation implemented unsafe pattern of reading value from xcom in the way that could be exploited to allow UI user who had access to modify XComs to perform arbitrary execution of code on the worker. Since the UI users are already highly trusted, this is a Low severity vulnerability. It does not affect Airflow release - example_dags are not supposed to be enabled in production environment, however users following the example could replicate the bad pattern. Documentation of Airflow 3.2.0 contains version of the example with improved resiliance for that case. Users who followed that pattern are advised to adjust their implementations accordingly.