Apache Airflow's secrets masker did not mask var.json Variable values whose value is a dict in the Rendered Templates UI — the dict value failed an isinstance(str) guard — so a secret stored as a JSON Variable and referenced in a template via var.json was displayed in cleartext to any user with access to that task's Rendered Templates view. Users are advised to upgrade to apache-airflow 3.3.1 or later, which masks nested Variable values regardless of type.

Apache Airflow's XCom GET /api/v2/{...}/xcomEntries/{key}?deserialize=true endpoint passed a string-literal payload through BaseXCom.deserializevalue without the checkforbiddenxcomkeys 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.

Apache Airflow's secrets masker hides values stored under sensitive key names when they are displayed in the UI. The masker's recursion-depth limit did not descend into values nested inside a list, tuple, or set beyond that limit, so an Airflow Variable holding such a deeply-nested value was shown unmasked in the Variables UI. The exposure is limited to the UI: any authenticated user who can see the Variable in the UI can already read its full value through the Variables REST API, so this does not disclose data the user could not otherwise obtain — the masking is a shoulder-surfing defense for the UI, not an access-control boundary.

This is an incomplete-fix follow-up to CVE-2026-42358, whose fix made only the dictionary walk unbounded; lists, tuples, and sets beyond the depth limit remained unmasked in the UI. Deployments that applied the CVE-2026-42358 fix should also upgrade to address this residual case. Upgrade to apache-airflow 3.3.1 or later.

Apache Airflow's Config API did not mask team-scoped sensitive configuration values in multi-team deployments. When an administrator has enabled multi-team mode and exposed the Config API, an authenticated Viewer holding only configuration-read access — with no prior access to the secret — could read a team-scoped Celery broker URL, including its embedded credentials, in cleartext, while the equivalent global option was correctly masked. The secrets masker matched only base section and option names and did not normalize team-prefixed sections before the sensitivity check (CWE-200). This is a distinct masker bypass from CVE-2026-48828 and CVE-2026-48892: deployments that upgraded to apache-airflow 3.3.0 to address those issues remain affected by this team-scoped variant. Users are advised to upgrade to apache-airflow 3.3.1 or later, which normalizes team-scoped sections before masking.

Apache Airflow 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.

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.

Apache Airflow's asset materialization endpoint (POST /api/v2/assets/{assetid}/materialize) and the XCom result check on waitdagrununtilfinished 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 dagrunid 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.

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 AIRFLOWCONN<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] multiteam enabled, [core] testconnection 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.

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.

The Bulk Variables API in Apache Airflow called the redactor without passing the variable's key, so the key-based shouldhidevalueforkey 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).

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/{dagid} — 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.

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.

The Config API in Apache Airflow surfaced per-key secrets-backend overrides (environment variables like AIRFLOWSECRETSBACKENDKWARGSECRETID and AIRFLOWWORKERSSECRETSBACKENDKWARGSECRETID) as synthetic config options whose option names were not in sensitiveconfigvalues, so the masker did not redact them. An authenticated UI/API user with Config read permission could retrieve plaintext secrets-backend credentials (Vault roleid / secretid, 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.

A bug in the GET /api/v2/connections/{connectionid} 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 (DEFAULTSENSITIVEFIELDS) — 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.

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 revoketoken() 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 revoketoken() 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.

The Event Log detail endpoint GET /api/v2/eventLogs/{eventlogid} 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.

A bug in Apache Airflow's Variable response masker caused nested-key redaction (triggered by secret-suffixed key names like password, token, secret, apikey) 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 maxdepth=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.

A bug in Apache Airflow's rendered-template field handling caused nested sensitive-key masking (e.g. nested password / token / secret / apikey keys inside a JSON template structure) to be bypassed when the rendered field exceeded [core] maxtemplatedfieldlength: Airflow stringified the structure before redaction, losing the nested key context, and persisted the plaintext value into renderedfields. 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 masksecret() 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.

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.

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] smtpstarttls=True without [email] smtpssl. 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 smtpstarttls=True and smtpssl=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.

The partitioneddagruns 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.

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 taskid containing .. sequences accepted by the Task SDK's KEYREGEX (write-path attack), and in both cases the FileTaskHandler resolves the log path outside the configured baselogfolder, 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.

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.

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.

The asset dependency graph did not restrict nodes by the viewer's DAG read permissions: a user with read access to at least one DAG could browse the asset graph for any other asset in the deployment and learn the existence and names of DAGs and assets outside their authorized scope.

Users are recommended to upgrade to version 3.2.1, which fixes this issue.

The accesskey and connectionstring 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

Apache Airflow versions 3.0.0 through 3.1.8 DagRun wait endpoint returns XCom result values even to users who only have DAG Run read permissions, such as the Viewer role.This behavior conflicts with the FAB RBAC model, which treats XCom as a separate protected resource, and with the security model documentation that defines the Viewer role as read-only.

Airflow uses the FAB Auth Manager to manage access control on a per-resource basis. The Viewer role is intended to be read-only by default, and the security model documentation defines Viewer users as those who can inspect DAGs without accessing sensitive execution results.

Users are recommended to upgrade to Apache Airflow 3.2.0 which resolves this issue.

Apache Airflow versions 3.1.0 through 3.1.7 /ui/dependencies endpoint returns the full DAG dependency graph without filtering by authorized DAG IDs. This allows an authenticated user with only DAG Dependencies permission to enumerate DAGs they are not authorized to view.

Users are recommended to upgrade to Apache Airflow 3.1.8 or later, which resolves this issue.

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

Vulnerability Overview

An authorization bypass vulnerability exists in Apache Airflow that allows authenticated users to access task execution logs without the required permissions.

The Flaw

The vulnerability affects environments using custom roles or granular permission settings. Normally, Airflow allows administrators to separate "Task" access (viewing the task state) from "Task Log" access (viewing the console output/logs).

In affected versions, the permission check for retrieving logs is insufficient. An authenticated user who has been granted access to view Tasks can successfully request and view Task Logs, even if they do not have the specific canread permission for Logs.

Impact

- Confidentiality Loss: Task logs often contain sensitive operational data, debugging information, or potentially leaked secrets (environment variables, connection strings) that should not be visible to all users with basic task access. - Broken Access Control: This bypasses the intended security model for restricted user roles.

Affected Versions

- Apache Airflow 3.1.0 through 3.1.6

Patches

Users should upgrade to Apache Airflow 3.1.7 or later, which enforces the correct permission checks for log access.