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🐍 PyPI
Not in CISA KEV
HIGH severity

GHSA-6pw3-8h9w-32gc apache-airflow

HIGHFix: apache/airflow#25960

GHSA-6pw3-8h9w-32gc is a high-severity (CVSS 8.8) Code Injection vulnerability in apache-airflow. 2 public exploit references exist, so weaponization risk is real. A fix is available for apache-airflow — see the affected versions and patch details below.

Apache Airflow vulnerable to OS Command Injection via example DAGs

Also known asBIT-airflow-2022-40127CVE-2022-40127PYSEC-2022-42982
Published
Nov 14, 2022
Updated
May 1, 2025
Affected
1 pkg
Patched
1 / 1
Exploits
2 known
Exploitation data as of Sep 18, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • A successful exploit gives an attacker total control of the affected component, not partial access.
  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for GHSA-6pw3-8h9w-32gc.

EPSS Exploitation Probability

via FIRST.org ↗
85.7%probability of exploitation in next 30 days
Very High Risk0.00%
Lower risk than most CVEs100th percentile — riskier than 100% of all scored CVEsHighest risk

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

How urgent is this, really

GHSA-6pw3-8h9w-32gc plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE sits: patch-first territory.

Where this sits among everything scored

Of 377,166 CVEs with a current EPSS score, this one falls in the 50–90% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

Real-World Exposure

1 pkg affected
🐍apache-airflow

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

A vulnerability in Example Dags of Apache Airflow allows an attacker with UI access who can trigger DAGs, to execute arbitrary commands via manually provided run_id parameter. This issue affects Apache Airflow versions prior to 2.4.0.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIapache-airflowall versions2.4.0pip install --upgrade 'apache-airflow==2.4.0'
Exploits & PoCs
2

Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for apache-airflow, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update apache-airflow to 2.4.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-6pw3-8h9w-32gc is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-6pw3-8h9w-32gc can be triaged on real exposure rather than presence alone.

Tailored to GHSA-6pw3-8h9w-32gc. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

How to detect GHSA-6pw3-8h9w-32gc

A community-maintained Nuclei template exists for this CVE. You can scan for it directly:

nuclei -id ghsa-6pw3-8h9w-32gc -u https://target
Template
AirFlow < 2.4.0 - Remote Code Execution
Severity
high
Impact
Successful exploitation of this vulnerability could allow an attacker to execute arbitrary code on the affected system.
Remediation
Upgrade AirFlow to version 2.4.0 or later to mitigate this vulnerability.

Template by ProjectDiscovery nuclei-templates (DhiyaneshDk, ritikchaddha), MIT licensed. View the full template. Scan only systems you are authorised to test.

Frequently Asked Questions

A vulnerability in Example Dags of Apache Airflow allows an attacker with UI access who can trigger DAGs, to execute arbitrary commands via manually provided run_id parameter. This issue affects Apache Airflow versions prior to 2.4.0.
O3 Security · Impact-Aware SCA

Is GHSA-6pw3-8h9w-32gc in your dependencies?

O3 Security finds GHSA-6pw3-8h9w-32gc across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

GHSA-6pw3-8h9w-32gc: apache-airflow | O3 Security