CVE-2026-42252 - Apache Airflow vulnerable to Improper Neutralization of Special Elements Used in a Template Engine

CVE-2026-42252 + Apache Airflow vulnerable to Improper Neutralization of Special Elements Used in a Template Engine + Critical + 2026-06-01

One-sentence business risk

Attackers can turn a normal application path into code execution, making this a direct production-host takeover risk.

Research notes

  • Root cause: Apache Airflow’s official documentation at core-concepts/dag-run.html (“Passing Parameters when triggering Dags”) showed a verbatim BashOperator(bash_command="echo value: {{ dag_run.conf['conf1'] }}") example without any quoting / sanitization warning.
  • Affected versions: pip:apache-airflow >= 3.0.0, < 3.2.2.
  • Fixed / safe versions: 3.2.2.
  • Public exploit / PoC signal: the consulted NVD/GHSA/vendor sources describe the trigger class; treat it as reproducible until patched.
  • CVSS: use upstream advisory score .

Exact vulnerable code pattern

update_or_read(request.body.target_id)  # no owner/role check

Fixed / mitigated code pattern

target = load_owned_resource(actor, target_id); require_role(actor, target, "admin")

Dependency or runtime update:

python -m pip show apache-airflow || true
python -m pip install -U apache-airflow
python -m pip check

Step-by-step integration guide

  1. Inventory apache-airflow across source, lockfiles, SBOMs, container images, CI images, and deployment manifests.
  2. Upgrade to 3.2.2 or apply the exact vendor patch referenced below.
  3. Replace the vulnerable authz pattern with the fixed pattern and fail closed on malformed input.
  4. Add a regression test that exercises the advisory trigger and proves the request is rejected, bounded, or authorized.
  5. Deploy through canary, monitor security logs and resource metrics, then remove temporary edge blocks only after all runtimes are fixed.

Alternative mitigations

  • Disable the vulnerable feature path while the package/runtime update rolls out.
  • Add WAF or reverse-proxy rules for traversal tokens, prototype-polluting keys, oversized frames, shell metacharacters, or unauthenticated tool calls matching the trigger class.
  • Restrict internal egress, rotate exposed secrets, and revoke affected tokens/keys if the vulnerability can disclose config, logs, JWT secrets, proxy credentials, or PKI material.
  • For admin/API authorization issues, temporarily require elevated roles and explicit ownership checks at the gateway.

Detection signature

id: cve-2026-42252-apache-airflow-vulnerable-to-improper-neutraliza
source: "GitHub Advisory Database"
dependency_or_product: "apache-airflow"
affected: "pip:apache-airflow >= 3.0.0, < 3.2.2"
fixed: "3.2.2"
signals:
  - "authz"
  - "../"
  - "__proto__"
  - "tools/call"
  - "wp_ajax_nopriv"
  - "pickle.loads"
  - "shell command construction"
action: "upgrade, add regression test, and verify deploy artifact"

Copy-paste skill

You are remediating CVE-2026-42252 (Apache Airflow vulnerable to Improper Neutralization of Special Elements Used in a Template Engine) in this repository.

Find every affected dependency, runtime, image, service configuration, and reachable code path. Upgrade or patch to 3.2.2. Replace the vulnerable authz pattern with a fail-closed implementation, add a regression test for the trigger shape, and update deployment/SBOM artifacts. If this repository does not control the affected runtime, create TRIAGE.md naming the owner, affected version, fixed version, and blocking decision.

Keywords, affected tech stack, and revenue tags

  • Keywords: CVE-2026-42252, authz, apache-airflow, GitHub Advisory Database.
  • Affected tech stack: python/pip.
  • Revenue tags: sellable_to_fintech, enterprise_blocker, zero_day_gold.

References