Total
159 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2026-68969 | 1 Apache | 1 Airflow | 2026-10-24 | N/A | 6.5 MEDIUM |
| 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. | |||||
| CVE-2026-68970 | 1 Apache | 1 Airflow | 2026-10-24 | N/A | 6.5 MEDIUM |
| 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. | |||||
| CVE-2026-68076 | 1 Apache | 1 Airflow | 2026-10-24 | N/A | 5.4 MEDIUM |
| 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__<TEAM>___<ID>` 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. | |||||
| CVE-2026-67587 | 1 Apache | 1 Airflow | 2026-10-24 | N/A | 8.8 HIGH |
| Apache Airflow's Task SDK rebuilt a `Callback` object from serialized data by re-running its constructor, which imports the module named by the stored callback path. Because `SyncCallback` is itself an Airflow class it passes the default `allowed_deserialization_classes` allow-list, so tightening that setting does not help. A Dag author — who controls a task instance's `next_kwargs` through the task execution API — can therefore cause an arbitrary module to be imported inside the scheduler process, when the scheduler's `awaiting_input` timeout sweep deserializes that value. No non-default configuration is required; the sweep runs unconditionally. Versions before 3.3.0 are not affected: the class existed, but the scheduler sweep that reaches it did not. This is a separate code path from CVE-2026-58076 and CVE-2026-67260, which cover different gadgets reaching deserialization — applying either of those fixes does not address this one. Users are advised to upgrade to apache-airflow 3.3.1 or later. | |||||
| CVE-2026-58076 | 1 Apache | 1 Airflow | 2026-10-24 | N/A | 8.8 HIGH |
| Apache Airflow's serialization layer reconstructed exception nodes by calling `import_string()` on a class name taken from the serialized blob and instantiating it with arguments from the same blob, with no restriction on what could be imported. An operator's `executor_config` reaches that branch, so a Dag author could place a value there that causes an arbitrary callable to be imported and invoked -- for example `subprocess.check_output`, or `builtins.eval` on the `builtins`-prefixed variant. The code runs in the **Scheduler**, which reconstructs serialized Dags in its normal loop with no request involved, and in the **API server**, on any authenticated read of the Dag such as `GET /api/v2/dags/{dag_id}/details`. Both are components the Airflow security model states must never execute Dag-author code, and both hold the metadata database credentials and the JWT signing secret. No non-default configuration is required. This is a **different sink from CVE-2026-33264**, which covered only the trigger branch of the same deserializer: deployments that upgraded in response to that advisory are still affected through the exception branch and must upgrade again. Users are advised to upgrade to apache-airflow 3.3.1 or later, which restricts the imported class to a subclass of `BaseException`. | |||||
| CVE-2026-68968 | 1 Apache | 1 Airflow | 2026-10-24 | N/A | 7.5 HIGH |
| Apache Airflow's Backfill API authorized a request against a Dag id supplied by the caller whenever the `backfill_id` path segment failed to parse. The authorization dependency parsed it with `int()` while the route handler parsed it as pydantic's `NonNegativeInt`, which accepts values `int()` rejects (`1.0` coerces to `1`); FastAPI resolves dependencies before endpoint validation, so the two acted on different Dags. An authenticated user holding edit permission on any single Dag could therefore read, pause and cancel backfills belonging to any other Dag, including moving another Dag's queued runs to `failed`. No non-default configuration is required and backfill ids are sequential, so finding a target is trivial. Users are advised to upgrade to apache-airflow 3.3.1 or later, which parses the backfill id with the same type the routes declare. | |||||
| CVE-2026-54183 | 1 Apache | 1 Airflow | 2026-10-24 | N/A | 4.3 MEDIUM |
| Apache Airflow's secrets masker hides values stored under sensitive key names when they are displayed in the UI. The masker's recursion-depth limit did not descend into values nested inside a list, tuple, or set beyond that limit, so an Airflow Variable holding such a deeply-nested value was shown unmasked in the Variables UI. The exposure is limited to the UI: any authenticated user who can see the Variable in the UI can already read its full value through the Variables REST API, so this does not disclose data the user could not otherwise obtain — the masking is a shoulder-surfing defense for the UI, not an access-control boundary. This is an incomplete-fix follow-up to CVE-2026-42358, whose fix made only the dictionary walk unbounded; lists, tuples, and sets beyond the depth limit remained unmasked in the UI. Deployments that applied the CVE-2026-42358 fix should also upgrade to address this residual case. Upgrade to apache-airflow 3.3.1 or later. | |||||
| CVE-2026-68971 | 1 Apache | 1 Airflow | 2026-10-24 | N/A | 6.5 MEDIUM |
| 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:<team>` -- 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. | |||||
| CVE-2026-59242 | 1 Apache | 1 Airflow | 2026-10-24 | N/A | 5.4 MEDIUM |
| Apache Airflow's XCom `GET /api/v2/{...}/xcomEntries/{key}?deserialize=true` endpoint passed a string-literal payload through `BaseXCom.deserialize_value` without the `_check_forbidden_xcom_keys` guard, allowing an authenticated API user with XCom write-and-read access to instantiate arbitrary `airflow.*` classes on the API server (CWE-502). An authenticated user who can write an XCom value and then read it back with `deserialize=true` triggers the unsafe instantiation. Users are advised to upgrade to apache-airflow 3.3.1 or later, which rejects reserved XCom serialization keys submitted as JSON string literals. | |||||
| CVE-2026-67260 | 1 Apache | 1 Airflow | 2026-10-24 | N/A | 7.3 HIGH |
| Apache Airflow 3.3.0 moved human-in-the-loop tasks from the triggerer to a new `awaiting_input` task state swept by the scheduler. That sweep deserializes the task instance's `next_kwargs` without an allow-list, so a Dag author — who controls that value through the task execution API — can cause an arbitrary module import and object instantiation inside the scheduler process, or terminate the scheduler job. No non-default configuration is required: the sweep runs unconditionally every 15 seconds, and the default `allowed_deserialization_classes` setting does not cover this code path. Versions before 3.3.0 are not affected, because human-in-the-loop tasks deferred onto the triggerer instead. This is a different code path from CVE-2026-58076, which covers the same unguarded exception-node deserialization reached elsewhere — deployments that applied that fix must upgrade for this issue as well. Users are advised to upgrade to apache-airflow 3.3.1 or later. | |||||
| CVE-2025-54831 | 1 Apache | 1 Airflow | 2026-10-11 | N/A | 6.5 MEDIUM |
| Apache Airflow 3 introduced a change to the handling of sensitive information in Connections. The intent was to restrict access to sensitive connection fields to Connection Editing Users, effectively applying a "write-only" model for sensitive values. In Airflow 3.0.3, this model was unintentionally violated: sensitive connection information could be viewed by users with READ permissions through both the API and the UI. This behavior also bypassed the `AIRFLOW__CORE__HIDE_SENSITIVE_VAR_CONN_FIELDS` configuration option. This issue does not affect Airflow 2.x, where exposing sensitive information to connection editors was the intended and documented behavior. Users of Airflow 3.0.3 are advised to upgrade Airflow to >=3.0.4. | |||||
| CVE-2025-62402 | 1 Apache | 1 Airflow | 2026-10-08 | N/A | 5.4 MEDIUM |
| API users via `/api/v2/dagReports` could perform Dag code execution in the context of the api-server if the api-server was deployed in the environment where Dag files were available. | |||||
| CVE-2025-62503 | 1 Apache | 1 Airflow | 2026-10-08 | N/A | 4.6 MEDIUM |
| User with CREATE and no UPDATE privilege for Pools, Connections, Variables could update existing records via bulk create API with overwrite action. | |||||
| CVE-2025-54941 | 1 Apache | 1 Airflow | 2026-10-08 | N/A | 4.6 MEDIUM |
| An example dag `example_dag_decorator` had non-validated parameter that allowed the UI user to redirect the example to a malicious server and execute code on worker. This however required that the example dags are enabled in production (not default) or the example dag code copied to build your own similar dag. If you used the `example_dag_decorator` please review it and apply the changes implemented in Airflow 3.0.5 accordingly. | |||||
| CVE-2025-66388 | 1 Apache | 1 Airflow | 2026-10-07 | N/A | 6.5 MEDIUM |
| A vulnerability in Apache Airflow allowed authenticated UI users to view secret values in rendered templates due to secrets not being properly redacted, potentially exposing secrets to users without the appropriate authorization. Users are recommended to upgrade to version 3.1.4, which fixes this issue. | |||||
| CVE-2025-57735 | 1 Apache | 1 Airflow | 2026-10-07 | N/A | 9.1 CRITICAL |
| 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. | |||||
| CVE-2025-54550 | 1 Apache | 1 Airflow | 2026-10-07 | N/A | 8.1 HIGH |
| 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. | |||||
| CVE-2025-66236 | 1 Apache | 1 Airflow | 2026-10-07 | N/A | 7.5 HIGH |
| 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]. [1] Security Model: https://airflow.apache.org/docs/apache-airflow/stable/security/jwt_token_authentication.html [2] Workload isolation: https://airflow.apache.org/docs/apache-airflow/stable/security/workload.html [3] JWT Token authentication: https://airflow.apache.org/docs/apache-airflow/stable/security/jwt_token_authentication.html [4] Airflow 3.2.0 Blog announcement: https://airflow.apache.org/blog/airflow-3.2.0/ Users are recommended to upgrade to version 3.2.0, which fixes this issue. | |||||
| CVE-2026-82355 | 1 Apache | 1 Airflow | 2026-09-25 | N/A | 4.2 MEDIUM |
| When a request to the Airflow core API carries both a session cookie and an explicit `Authorization: Bearer` token, Airflow resolves the caller from the cookie and ignores the bearer token, inverting the intended precedence of bearer over cookie. The request then executes -- and is recorded in the audit log -- as the cookie's principal rather than the identity the client explicitly presented. Only Apache Airflow 3.3.0 and 3.3.1 are affected. Earlier releases do not contain the code path that caches the cookie-derived user, and are not vulnerable. Exploiting this requires an attacker to first place a valid session cookie of their own into the victim's browser or client: for example by cookie tossing from a sibling subdomain, through cross-site scripting in a separate application sharing a parent domain, or via a shared workstation. Deployments that host the Airflow UI on a domain shared with other applications are therefore the most exposed; a deployment on a dedicated domain with no co-hosted applications is not reachable this way. The consequence is principal confusion and misattributed audit records rather than a direct privilege escalation. Users of 3.3.0 or 3.3.1 should upgrade to Apache Airflow 3.3.2 or later, which resolves the caller from the explicitly supplied credential whenever one is present. | |||||
| CVE-2026-75158 | 1 Apache | 1 Airflow | 2026-09-25 | N/A | 4.3 MEDIUM |
| Apache Airflow's `/assets/events` API returned asset events for every Dag in the deployment, with no filter restricting them to the Dags the caller is authorized to read. Any authenticated user holding asset-read access could therefore enumerate asset events — including the source Dag ID, task ID, run ID and event timestamps — for Dags they have no permission to see. Because the filter was also absent from the count query, `total_entries` and pagination disclosed the existence of hidden Dags even without inspecting individual rows. Deployments are affected whenever per-Dag access control is used to separate teams or tenants; no special configuration is required. Upgrade to apache-airflow 3.3.2 or later. | |||||