2019-02-12
16h02 +00:00
16h02 +00:00
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CPE Name: cpe:2.3:a:apache:airflow:1.9.0:alpha1:*:*:*:*:*:*
Informations
Vendor
apacheProduct
airflowVersion
1.9.0Update
alpha1Related CVE
| CVE ID | Published | Description | Score | Severity |
|---|---|---|---|---|
| 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. | 6.5 |
Medium |
||
| 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. | 7.5 |
High |
||
| 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__ |
5.4 |
Medium |
||
| 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. | 6.5 |
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. | 5.4 |
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. | 4.3 |
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. | 6.5 |
Medium |
||
| 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. | 6.5 |
Medium |
||
| Before apache-airflow 3.3.0, a user authorized to read one Dag could disclose the source of other Dags co-located in the same source file. `GET /api/v2/dagSources/{dag_id}` — and the equivalent Dag-source view in the UI — returned the entire source file without redacting Dags the caller was not authorized to read, bypassing per-DAG read authorization. Deployments that co-locate multiple Dags in a single file and rely on per-DAG access control to limit source visibility are affected; single-Dag-per-file deployments are not. Upgrade to apache-airflow 3.3.0 or later. | 6.5 |
Medium |
||
| 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. | 6.5 |
Medium |
||
| 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. | 4.3 |
Medium |
||
| 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). | 6.5 |
Medium |
||
| 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](https://www.cve.org/CVERecord?id=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. | 8.8 |
High |
||
| 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. | 6.5 |
Medium |
||
| 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. | 4.3 |
Medium |
||
| 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. | 7.3 |
High |
||
| 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. | 6.5 |
Medium |
||
| 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. | 6.5 |
Medium |
||
| 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. | 6.5 |
Medium |
||
| 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. | 6.5 |
Medium |
||
| 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. | 4.3 |
Medium |
||
| 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. | 7.5 |
High |
||
| 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. | 8.8 |
High |
||
| 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. | 7.2 |
High |
||
| 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 | 6.5 |
Medium |
||
| Airflow versions before 2.11.1 have a vulnerability that allows authenticated users with audit log access to see sensitive values in audit logs which they should not see. When sensitive connection parameters were set via airflow CLI, values of those variables appeared in the audit log and were stored unencrypted in the Airflow database. While this risk is limited to users with audit log access, it is recommended to upgrade to Airflow 2.11.1 or a later version, which addresses this issue. Users who previously used the CLI to set connections should manually delete entries with those connection sensitive values from the log table. This is similar but not the same issue as CVE-2024-50378 | 6.5 |
Medium |
||
| DAG Author (who already has quite a lot of permissions) could manipulate database of Airflow 2 in the way to execute arbitrary code in the web-server context, which they should normally not be able to do, leading to potentially remote code execution in the context of web-server (server-side) as a result of a user viewing historical task information. The functionality responsible for that (log template history) has been disabled by default in 2.11.1 and users should upgrade to Airflow 3 if they want to continue to use log template history. They can also manually modify historical log file names if they want to see historical logs that were generated before the last log template change. | 8.4 |
High |
||
| In Apache Airflow versions before 3.1.6, and 2.11.1 the proxies and proxy fields within a Connection may include proxy URLs containing embedded authentication information. These fields were not treated as sensitive by default and therefore were not automatically masked in log output. As a result, when such connections are rendered or printed to logs, proxy credentials embedded in these fields could be exposed. Users are recommended to upgrade to 3.1.6 or later for Airflow 3, and 2.11.1 or later for Airflow 2 which fixes this issue | 7.5 |
High |
||
| Apache Airflow versions before 2.10.3 contain a vulnerability that could expose sensitive configuration variables in task logs. This vulnerability allows DAG authors to unintentionally or intentionally log sensitive configuration variables. Unauthorized users could access these logs, potentially exposing critical data that could be exploited to compromise the security of the Airflow deployment. In version 2.10.3, secrets are now masked in task logs to prevent sensitive configuration variables from being exposed in the logging output. Users should upgrade to Airflow 2.10.3 or the latest version to eliminate this vulnerability. If you suspect that DAG authors could have logged the secret values to the logs and that your logs are not additionally protected, it is also recommended that you update those secrets. | 7.5 |
High |
||
| Airflow versions before 2.10.3 have a vulnerability that allows authenticated users with audit log access to see sensitive values in audit logs which they should not see. When sensitive variables were set via airflow CLI, values of those variables appeared in the audit log and were stored unencrypted in the Airflow database. While this risk is limited to users with audit log access, it is recommended to upgrade to Airflow 2.10.3 or a later version, which addresses this issue. Users who previously used the CLI to set secret variables should manually delete entries with those variables from the log table. | 4.9 |
Medium |
||
| Apache Airflow versions before 2.10.1 have a vulnerability that allows DAG authors to add local settings to the DAG folder and get it executed by the scheduler, where the scheduler is not supposed to execute code submitted by the DAG author. Users are advised to upgrade to version 2.10.1 or later, which has fixed the vulnerability. | 8.8 |
High |
||
| Apache Airflow, versions before 2.10.0, have a vulnerability that allows the developer of a malicious provider to execute a cross-site scripting attack when clicking on a provider documentation link. This would require the provider to be installed on the web server and the user to click the provider link. Users should upgrade to 2.10.0 or later, which fixes this vulnerability. | 6.1 |
Medium |
||
| Apache Airflow versions before 2.9.3 have a vulnerability that allows an authenticated attacker to inject a malicious link when installing a provider. Users are recommended to upgrade to version 2.9.3, which fixes this issue. | 8.1 |
High |
||
| Use of Web Browser Cache Containing Sensitive Information vulnerability in Apache Airflow. Airflow did not return "Cache-Control" header for dynamic content, which in case of some browsers could result in potentially storing sensitive data in local cache of the browser. This issue affects Apache Airflow: before 2.9.2. Users are recommended to upgrade to version 2.9.2, which fixes the issue. | 5.5 |
Medium |
||
| Apache Airflow, versions before 2.8.2, has a vulnerability that allows authenticated Ops and Viewers users to view all information on audit logs, including dag names and usernames they were not permitted to view. With 2.8.2 and newer, Ops and Viewer users do not have audit log permission by default, they need to be explicitly granted permissions to see the logs. Only admin users have audit log permission by default. Users of Apache Airflow are recommended to upgrade to version 2.8.2 or newer to mitigate the risk associated with this vulnerability | 4.7 |
Medium |
||
| Apache Airflow, versions before 2.8.2, has a vulnerability that allows authenticated users to view DAG code and import errors of DAGs they do not have permission to view through the API and the UI. Users of Apache Airflow are recommended to upgrade to version 2.8.2 or newer to mitigate the risk associated with this vulnerability | 5.9 |
Medium |
||
| Apache Airflow, versions before 2.8.1, have a vulnerability that allows an authenticated user to access the source code of a DAG to which they don't have access. This vulnerability is considered low since it requires an authenticated user to exploit it. Users are recommended to upgrade to version 2.8.1, which fixes this issue. | 6.5 |
Medium |
||
| Apache Airflow, versions before 2.8.1, have a vulnerability that allows a potential attacker to poison the XCom data by bypassing the protection of "enable_xcom_pickling=False" configuration setting resulting in poisoned data after XCom deserialization. This vulnerability is considered low since it requires a DAG author to exploit it. Users are recommended to upgrade to version 2.8.1 or later, which fixes this issue. | 7.5 |
High |
||
| Apache Airflow, in versions prior to 2.8.0, contains a security vulnerability that allows an authenticated user with limited access to some DAGs, to craft a request that could give the user write access to various DAG resources for DAGs that the user had no access to, thus, enabling the user to clear DAGs they shouldn't. This is a missing fix for CVE-2023-42792 in Apache Airflow 2.7.2 Users of Apache Airflow are strongly advised to upgrade to version 2.8.0 or newer to mitigate the risk associated with this vulnerability. | 4.3 |
Medium |
||
| Apache Airflow, versions before 2.8.0, is affected by a vulnerability that allows an authenticated user without the variable edit permission, to update a variable. This flaw compromises the integrity of variable management, potentially leading to unauthorized data modification. Users are recommended to upgrade to 2.8.0, which fixes this issue | 6.5 |
Medium |
||
| Apache Airflow, versions before 2.7.3, has a vulnerability that allows an authorized user who has access to read specific DAGs only, to read information about task instances in other DAGs. This is a different issue than CVE-2023-42663 but leading to similar outcome. Users of Apache Airflow are advised to upgrade to version 2.7.3 or newer to mitigate the risk associated with this vulnerability. | 6.5 |
Medium |
||
| We failed to apply CVE-2023-40611 in 2.7.1 and this vulnerability was marked as fixed then. Apache Airflow, versions before 2.7.3, is affected by a vulnerability that allows authenticated and DAG-view authorized Users to modify some DAG run detail values when submitting notes. This could have them alter details such as configuration parameters, start date, etc. Users should upgrade to version 2.7.3 or later which has removed the vulnerability. | 4.3 |
Medium |
||
| Apache Airflow, in versions prior to 2.7.2, contains a security vulnerability that allows an authenticated user with limited access to some DAGs, to craft a request that could give the user write access to various DAG resources for DAGs that the user had no access to, thus, enabling the user to clear DAGs they shouldn't. Users of Apache Airflow are strongly advised to upgrade to version 2.7.2 or newer to mitigate the risk associated with this vulnerability. | 6.5 |
Medium |
||
| Apache Airflow, versions prior to 2.7.2, contains a security vulnerability that allows authenticated users of Airflow to list warnings for all DAGs, even if the user had no permission to see those DAGs. It would reveal the dag_ids and the stack-traces of import errors for those DAGs with import errors. Users of Apache Airflow are advised to upgrade to version 2.7.2 or newer to mitigate the risk associated with this vulnerability. | 6.5 |
Medium |
||
| Apache Airflow, versions before 2.7.2, has a vulnerability that allows an authorized user who has access to read specific DAGs only, to read information about task instances in other DAGs. Users of Apache Airflow are advised to upgrade to version 2.7.2 or newer to mitigate the risk associated with this vulnerability. | 6.5 |
Medium |
||
| Apache Airflow, versions before 2.7.1, is affected by a vulnerability that allows authenticated users who have access to see the task/dag in the UI, to craft a URL, which could lead to unmasking the secret configuration of the task that otherwise would be masked in the UI. Users are strongly advised to upgrade to version 2.7.1 or later which has removed the vulnerability. | 6.5 |
Medium |
||
| Apache Airflow, versions before 2.7.1, is affected by a vulnerability that allows authenticated and DAG-view authorized Users to modify some DAG run detail values when submitting notes. This could have them alter details such as configuration parameters, start date, etc. Users should upgrade to version 2.7.1 or later which has removed the vulnerability. | 4.3 |
Medium |
||
| The session fixation vulnerability allowed the authenticated user to continue accessing Airflow webserver even after the password of the user has been reset by the admin - up until the expiry of the session of the user. Other than manually cleaning the session database (for database session backend), or changing the secure_key and restarting the webserver, there were no mechanisms to force-logout the user (and all other users with that). With this fix implemented, when using the database session backend, the existing sessions of the user are invalidated when the password of the user is reset. When using the securecookie session backend, the sessions are NOT invalidated and still require changing the secure key and restarting the webserver (and logging out all other users), but the user resetting the password is informed about it with a flash message warning displayed in the UI. Documentation is also updated explaining this behaviour. Users of Apache Airflow are advised to upgrade to version 2.7.0 or newer to mitigate the risk associated with this vulnerability. | 8 |
High |
||
| Apache Airflow SMTP Provider before 1.3.0, Apache Airflow IMAP Provider before 3.3.0, and Apache Airflow before 2.7.0 are affected by the Validation of OpenSSL Certificate vulnerability. The default SSL context with SSL library did not check a server's X.509 certificate. Instead, the code accepted any certificate, which could result in the disclosure of mail server credentials or mail contents when the client connects to an attacker in a MITM position. Users are strongly advised to upgrade to Apache Airflow version 2.7.0 or newer, Apache Airflow IMAP Provider version 3.3.0 or newer, and Apache Airflow SMTP Provider version 1.3.0 or newer to mitigate the risk associated with this vulnerability | 5.9 |
Medium |
||
| Apache Airflow, in versions prior to 2.7.0, contains a security vulnerability that can be exploited by an authenticated user possessing Connection edit privileges. This vulnerability allows the user to access connection information and exploit the test connection feature by sending many requests, leading to a denial of service (DoS) condition on the server. Furthermore, malicious actors can leverage this vulnerability to establish harmful connections with the server. Users of Apache Airflow are strongly advised to upgrade to version 2.7.0 or newer to mitigate the risk associated with this vulnerability. Additionally, administrators are encouraged to review and adjust user permissions to restrict access to sensitive functionalities, reducing the attack surface. | 8.1 |
High |
||
| Execution with Unnecessary Privileges, : Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache Software Foundation Apache Airflow.The "Run Task" feature enables authenticated user to bypass some of the restrictions put in place. It allows to execute code in the webserver context as well as allows to bypas limitation of access the user has to certain DAGs. The "Run Task" feature is considered dangerous and it has been removed entirely in Airflow 2.6.0 This issue affects Apache Airflow: before 2.6.0. | 8.8 |
High |
||
| Apache Airflow, versions before 2.6.3, has a vulnerability where an authenticated user can use crafted input to make the current request hang. It is recommended to upgrade to a version that is not affected | 6.5 |
Medium |
||
| Apache Airflow, versions before 2.6.3, is affected by a vulnerability that allows unauthorized read access to a DAG through the URL. It is recommended to upgrade to a version that is not affected | 6.5 |
Medium |
||
| Apache Airflow, versions before 2.6.3, is affected by a vulnerability that allows an attacker to cause a service disruption by manipulating the run_id parameter. This vulnerability is considered low since it requires an authenticated user to exploit it. It is recommended to upgrade to a version that is not affected | 6.5 |
Medium |
||
| Apache Airflow, versions before 2.6.3, is affected by a vulnerability that allows an attacker to perform unauthorized file access outside the intended directory structure by manipulating the run_id parameter. This vulnerability is considered low since it requires an authenticated user to exploit it. It is recommended to upgrade to a version that is not affected | 6.5 |
Medium |
||
| Apache Airflow, versions before 2.6.3, is affected by a vulnerability that allows an unauthorized actor to gain access to sensitive information in Connection edit view. This vulnerability is considered low since it requires someone with access to Connection resources specifically updating the connection to exploit it. Users should upgrade to version 2.6.3 or later which has removed the vulnerability. | 6.5 |
Medium |
||
| Privilege Context Switching Error vulnerability in Apache Software Foundation Apache Airflow.This issue affects Apache Airflow: before 2.6.0. | 9.8 |
Critical |
||
| Task instance details page in the UI is vulnerable to a stored XSS.This issue affects Apache Airflow: before 2.6.0. | 5.4 |
Medium |
||
| Generation of Error Message Containing Sensitive Information vulnerability in Apache Software Foundation Apache Airflow.This issue affects Apache Airflow: before 2.5.2. | 5.3 |
Medium |
||
| Improper Neutralization of Special Elements used in a Command ('Command Injection') vulnerability in Apache Software Foundation Apache Airflow, Apache Software Foundation Apache Airflow MySQL Provider.This issue affects Apache Airflow: before 2.5.1; Apache Airflow MySQL Provider: before 4.0.0. | 9.8 |
Critical |
||
| Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Apache Airflow Pinot Provider, Apache Airflow allows an attacker to control commands executed in the task execution context, without write access to DAG files. This issue affects Apache Airflow Pinot Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Apache Airflow Pinot Provider is installed (Apache Airflow Pinot Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Pinot Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version. | 9.8 |
Critical |
||
| Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Apache Airflow Pig Provider, Apache Airflow allows an attacker to control commands executed in the task execution context, without write access to DAG files. This issue affects Pig Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Pig Provider is installed (Pig Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Pig Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version. | 9.8 |
Critical |
||
| Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an attacker to read arbtrary files in the task execution context, without write access to DAG files. This issue affects Spark Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Spark Provider is installed (Spark Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Spark Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Spark Provider installed). | 5.5 |
Medium |
||
| Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Apache Airflow Hive Provider, Apache Airflow allows an attacker to execute arbtrary commands in the task execution context, without write access to DAG files. This issue affects Hive Provider versions prior to 4.1.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case HIve Provider is installed (Hive Provider 4.1.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the HIve Provider version 4.1.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Hive Provider installed). | 7.8 |
High |
||
| In Apache Airflow versions prior to 2.4.3, there was an open redirect in the webserver's `/login` endpoint. | 6.1 |
Medium |
||
| 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 Apache Airflow versions prior to 2.4.0. | 8.8 |
High |
||
| A vulnerability in UI of Apache Airflow allows an attacker to view unmasked secrets in rendered template values for tasks which were not executed (for example when they were depending on past and previous instances of the task failed). This issue affects Apache Airflow prior to 2.3.1. | 7.5 |
High |
||
| In Apache Airflow versions prior to 2.4.2, the "Trigger DAG with config" screen was susceptible to XSS attacks via the `origin` query argument. | 6.1 |
Medium |
||
| In Apache Airflow versions prior to 2.4.2, there was an open redirect in the webserver's `/confirm` endpoint. | 6.1 |
Medium |
||
| In Apache Airflow, prior to version 2.4.1, deactivating a user wouldn't prevent an already authenticated user from being able to continue using the UI or API. | 8.1 |
High |
||
| In Apache Airflow prior to 2.3.4, an insecure umask was configured for numerous Airflow components when running with the `--daemon` flag which could result in a race condition giving world-writable files in the Airflow home directory and allowing local users to expose arbitrary file contents via the webserver. | 4.7 |
Medium |
||
| In Apache Airflow, prior to version 2.2.4, some example DAGs did not properly sanitize user-provided params, making them susceptible to OS Command Injection from the web UI. | 8.8 |
High |
||
| It was discovered that the "Trigger DAG with config" screen was susceptible to XSS attacks via the `origin` query argument. This issue affects Apache Airflow versions 2.2.3 and below. | 6.1 |
Medium |
||
| If remote logging is not used, the worker (in the case of CeleryExecutor) or the scheduler (in the case of LocalExecutor) runs a Flask logging server and is listening on a specific port and also binds on 0.0.0.0 by default. This logging server had no authentication and allows reading log files of DAG jobs. This issue affects Apache Airflow < 2.1.2. | 5.3 |
Medium |
||
| The "origin" parameter passed to some of the endpoints like '/trigger' was vulnerable to XSS exploit. This issue affects Apache Airflow versions <1.10.15 in 1.x series and affects 2.0.0 and 2.0.1 and 2.x series. This is the same as CVE-2020-13944 & CVE-2020-17515 but the implemented fix did not fix the issue completely. Update to Airflow 1.10.15 or 2.0.2. Please also update your Python version to the latest available PATCH releases of the installed MINOR versions, example update to Python 3.6.13 if you are on Python 3.6. (Those contain the fix for CVE-2021-23336 https://nvd.nist.gov/vuln/detail/CVE-2021-23336). | 6.1 |
Medium |
||
| Incorrect Session Validation in Apache Airflow Webserver versions prior to 1.10.14 with default config allows a malicious airflow user on site A where they log in normally, to access unauthorized Airflow Webserver on Site B through the session from Site A. This does not affect users who have changed the default value for `[webserver] secret_key` config. | 7.7 |
High |
||
| In Airflow versions prior to 1.10.13, when creating a user using airflow CLI, the password gets logged in plain text in the Log table in Airflow Metadatase. Same happened when creating a Connection with a password field. | 6.5 |
Medium |
||
| In Apache Airflow versions prior to 1.10.13, the Charts and Query View of the old (Flask-admin based) UI were vulnerable for SSRF attack. | 5.3 |
Medium |
||
| The "origin" parameter passed to some of the endpoints like '/trigger' was vulnerable to XSS exploit. This issue affects Apache Airflow versions prior to 1.10.13. This is same as CVE-2020-13944 but the implemented fix in Airflow 1.10.13 did not fix the issue completely. | 6.1 |
Medium |
||
| The previous default setting for Airflow's Experimental API was to allow all API requests without authentication, but this poses security risks to users who miss this fact. From Airflow 1.10.11 the default has been changed to deny all requests by default and is documented at https://airflow.apache.org/docs/1.10.11/security.html#api-authentication. Note this change fixes it for new installs but existing users need to change their config to default `[api]auth_backend = airflow.api.auth.backend.deny_all` as mentioned in the Updating Guide: https://github.com/apache/airflow/blob/1.10.11/UPDATING.md#experimental-api-will-deny-all-request-by-default | 9.8 |
Critical |
||
| In Apache Airflow < 1.10.12, the "origin" parameter passed to some of the endpoints like '/trigger' was vulnerable to XSS exploit. | 6.1 |
Medium |
||
| An issue was found in Apache Airflow versions 1.10.10 and below. A stored XSS vulnerability was discovered in the Chart pages of the the "classic" UI. | 6.1 |
Medium |
||
| An issue was found in Apache Airflow versions 1.10.10 and below. It was discovered that many of the admin management screens in the new/RBAC UI handled escaping incorrectly, allowing authenticated users with appropriate permissions to create stored XSS attacks. | 5.4 |
Medium |
||
| An issue was found in Apache Airflow versions 1.10.10 and below. When using CeleryExecutor, if an attack can connect to the broker (Redis, RabbitMQ) directly, it was possible to insert a malicious payload directly to the broker which could lead to a deserialization attack (and thus remote code execution) on the Worker. | 9.8 |
Critical |
||
| An issue was found in Apache Airflow versions 1.10.10 and below. When using CeleryExecutor, if an attacker can connect to the broker (Redis, RabbitMQ) directly, it is possible to inject commands, resulting in the celery worker running arbitrary commands. | 9.8 |
Critical |
||
| An issue was found in Apache Airflow versions 1.10.10 and below. A remote code/command injection vulnerability was discovered in one of the example DAGs shipped with Airflow which would allow any authenticated user to run arbitrary commands as the user running airflow worker/scheduler (depending on the executor in use). If you already have examples disabled by setting load_examples=False in the config then you are not vulnerable. | 8.8 |
High |
||
| In Apache Airflow before 1.10.5 when running with the "classic" UI, a malicious admin user could edit the state of objects in the Airflow metadata database to execute arbitrary javascript on certain page views. The new "RBAC" UI is unaffected. | 4.8 |
Medium |
||
| A malicious admin user could edit the state of objects in the Airflow metadata database to execute arbitrary javascript on certain page views. This also presented a Local File Disclosure vulnerability to any file readable by the webserver process. | 4.8 |
Medium |
||
| A malicious admin user could edit the state of objects in the Airflow metadata database to execute arbitrary javascript on certain page views. | 4.8 |
Medium |
||
| A number of HTTP endpoints in the Airflow webserver (both RBAC and classic) did not have adequate protection and were vulnerable to cross-site request forgery attacks. | 8.8 |
High |
||
| In Apache Airflow before 1.10.2, a malicious admin user could edit the state of objects in the Airflow metadata database to execute arbitrary javascript on certain page views. | 5.5 |
Medium |
||
| The LDAP auth backend (airflow.contrib.auth.backends.ldap_auth) prior to Apache Airflow 1.10.1 was misconfigured and contained improper checking of exceptions which disabled server certificate checking. | 7.5 |
High |
