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.
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.
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.
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.
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.
Apache Airflow's Config API did not mask team-scoped sensitive configuration values in multi-team deployments. When an administrator has enabled multi-team mode and exposed the Config API, an authenticated Viewer holding only configuration-read access — with no prior access to the secret — could read a team-scoped Celery broker URL, including its embedded credentials, in cleartext, while the equivalent global option was correctly masked. The secrets masker matched only base section and option names and did not normalize team-prefixed sections before the sensitivity check (CWE-200). This is a distinct masker bypass from CVE-2026-48828 and CVE-2026-48892: deployments that upgraded to apache-airflow 3.3.0 to address those issues remain affected by this team-scoped variant. Users are advised to upgrade to apache-airflow 3.3.1 or later, which normalizes team-scoped sections before masking.
Apache Airflow's secrets masker did not mask `var.json` Variable values whose value is a dict in the Rendered Templates UI — the dict value failed an `isinstance(str)` guard — so a secret stored as a JSON Variable and referenced in a template via `var.json` was displayed in cleartext to any user with access to that task's Rendered Templates view. Users are advised to upgrade to apache-airflow 3.3.1 or later, which masks nested Variable values regardless of type.
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`.
XSS vulnerability in Markdown handling in Apache Allura.
This issue affects Apache Allura: from 1.10.0 before 1.19.1.
Users are recommended to upgrade to version 1.19.1, which fixes the issue.
XSS vulnerability in code display in Apache Allura.
This issue affects Apache Allura: before 1.19.1.
Users are recommended to upgrade to version 1.19.1, which fixes the issue.
Insecure Direct Object Reference (IDOR) due to missing permission checks for multiple Artifact types in Apache Allura.
This issue affects Apache Allura: before 1.19.1.
Users are recommended to upgrade to version 1.19.1, which fixes the issue.
Specifically crafted inputs may lead to git argument injection in Apache Allura.
This issue affects Apache Allura: before 1.19.1.
Users are recommended to upgrade to version 1.19.1, which fixes the issue.
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.
Improper TLS hostname verification vulnerability in Apache HttpComponents Client 5.4 or newer. HostnameVerificationPolicy#BUILTIN setting has no effect when used with the async version of HttpClient. An attacker that can intercept and modify traffic between the client and the server can impersonate the server by presenting a valid certificate for a different domain.
Please note the classic version of HttpClient is not affected by this vulnerability.
Affected users are recommended to upgrade to at least version 5.6.4, which fixes the issue.
Apache Allura's webhooks are vulnerable to Server-Side Request Forgery (SSRF).
This issue affects Apache Allura: before 1.19.1.
Users are recommended to upgrade to version 1.19.1, which fixes the issue.
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.
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.
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.
Apache Tapestry versions 5.5.0 through 5.9.0 contain a vulnerability that allows unauthorized attackers to download classpath assets via specially crafted URLs. This exposure of sensitive information (CWE-200) can lead to disclosure of potentially sensitive internal resources. The issue is resolved in version 5.9.1, which users are recommended to upgrade to.
Improper Neutralization of Special Elements used in a Command ('Command Injection') vulnerability in Apache Ranger.
This issue affects Apache Ranger: from 0.6 through 2.8.