| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Description
`DefaultStateSerializer`, used to persist and restore stateful bolt checkpoints, configured Kryo with class
registration disabled and an instantiation strategy that constructs objects without invoking their
constructors, then deserialized whatever bytes the state store returned. A party able to write to the
topology's keyspace in the state store, for example a co-tenant of a shared Redis instance or anyone with
network access to it, could therefore place a serialized object graph that executes code inside the worker
JVM when the state is restored.
This requires the Redis-backed state provider, which is not the default. Write access to a state-store key
is a data-plane privilege; code execution in the worker JVM is not, so the two are not equivalent.
Mitigation
Upgrade to 3.1.0, where the state serializer requires registered classes.
Note that this is a behaviour change for existing state: checkpoints written by an affected version may fail
to restore, and a migration step may be required. Users who cannot upgrade immediately should restrict
network and credential access to the state store to the cluster itself.
Credit
The ASF -- found using Claude agents to study the security of open-source projects, validated and reported by Apache Storm. |
| XML External Entity (XXE) Injection in ContentWorker in Apache OFBiz 24.09 before 24.09.08 on all platforms allows a remote authenticated attacker holding content-author permission to read arbitrary server files and trigger server-side request forgery by storing a crafted text/xml DataResource containing an external entity declaration, causing ContentWorker's rendering of that content — via renderContentAsText and related CMS/help render paths — to parse the stored XML using FreeMarker's default NodeModel.parse DocumentBuilderFactory, which enables neither FEATURE_SECURE_PROCESSING nor external-entity/DTD restrictions, resolving the external entity and returning its content in the rendered response. Users are recommended to upgrade to version 24.09.08, which fixes this issue. |
| Apache Airflow's Task SDK secret cache built its keys from the team name and secret id with unescaped `_` delimiters, so different (team, secret id) pairs could collide. In multi-team deployments a Dag author could read another team's Variable or Connection value by crafting a colliding secret id. Only deployments with both `core.multi_team = True` and `secrets.use_cache = True` are affected.
Users are advised to upgrade to apache-airflow 3.4.0 or later. Deployments that cannot upgrade can set `secrets.use_cache = False`. |
| Description
Nimbus instantiates the class named by a topology's `topology.scheduler.strategy` when scheduling it. The
allowlist intended to constrain that choice, `nimbus.scheduler.strategy.class.whitelist`, was treated as
"allow any class" when unset, and it had no entry in the shipped `defaults.yaml`, so unset was the shipped
state. An authenticated submitter could therefore cause Nimbus to instantiate any class on the Nimbus
classpath that has a no-argument constructor.
Storm's own production artifacts contain classes with side effects suitable for this: instantiating
`org.apache.storm.testing.InProcessZookeeper` starts a ZooKeeper server with its own threads and sockets
and nothing closes it, and `org.apache.storm.LocalCluster` behaves similarly. Repeated submissions
therefore consume threads, sockets and memory in the most privileged daemon in the cluster.
Mitigation
Upgrade to 3.1.0, where an unset allowlist means the strategies shipped with Storm rather than any class.
Note that this is a behaviour change: a cluster running an out-of-tree scheduler strategy without an
explicit allowlist will have those topologies refused until the class is added to
`nimbus.scheduler.strategy.class.whitelist`. The rejection message names the refused class and the
configuration key.
Users who cannot upgrade immediately should set `nimbus.scheduler.strategy.class.whitelist` explicitly to
the strategies they intend to permit. |
| Apache Airflow's Task Execution API stored XCom values written by a task without the reserved-key check applied elsewhere, so a Dag author's task could write an XCom that, when a user later viewed it through the API with deserialization enabled, made the API server instantiate classes from the `airflow.*` namespace with arguments the Dag author chose. This is an incomplete fix for CVE-2026-59242: users who applied that fix in apache-airflow 3.3.1 remain affected through this route and should upgrade to apache-airflow 3.4.0 or later. |
| Allocation of Resources Without Limits or Throttling vulnerability in Apache Axis2/Java. The JSON message builders, including the Gson, Moshi and HTTP/2 variants, buffered the entire request body with no size limit, so an unauthenticated caller could exhaust server memory with a large JSON request. Version 2.0.2 bounds JSON request bodies with the configurable jsonMaxRequestSize parameter. This issue affects Apache Axis2/Java: through 2.0.1. Users are recommended to upgrade to version 2.0.2, which fixes the issue. |
| Apache Airflow's API endpoint for deleting an asset's queued events checked Dag edit permission against the `dag_id` query parameter, but deleted the queued events of every Dag the caller could read. An authenticated user with edit permission on one Dag and read access to others could suppress asset-triggered runs of Dags they cannot edit. This is an incomplete fix for CVE-2026-75157: users who upgraded to apache-airflow 3.3.2 for that fix are still affected and should upgrade to apache-airflow 3.4.0 or later. |
| A missing critical step in authentication vulnerability in Apache Tomcat when the JNDI realm was configured with with a non GSSAPI SASL authentication mechanism allowed attackers to authenticate without providing the correct password.
This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.26, from 10.1.0-M1 through 10.1.60, from 9.0.0.M1 through 9.0.122.
The following versions were EOL at the time the CVE was created but are known to be affected: from 8.5.0 through 8.5.100, from 7.0.0 through 7.0.109. Other unsupported versions may also be affected.
Users are recommended to upgrade to version 11.0.27, 10.1.61 or 9.0.123, which fix the issue. |
| Apache Airflow's CeleryExecutor ran callback workloads (`ExecuteCallback`, used for deadline-alert callbacks) without validating the workload's authentication token. Anyone able to write to the Celery broker could enqueue a forged callback and execute arbitrary code on every CeleryExecutor worker, without Airflow credentials. Deployments using the CeleryExecutor are affected.
Users are advised to upgrade to apache-airflow 3.4.0 or later, in which the worker claims the callback through the Execution API, validating the token, before running it. |
| Apache Airflow's asset API endpoints returned the IDs of Dags that are scheduled on, produce, or consume an asset without checking whether the caller may read those Dags. An authenticated user with asset read access could learn the IDs of Dags they are not authorized to see. Users are advised to upgrade to apache-airflow 3.4.0 or later. Airflow 2.x is also affected; Airflow 2 has reached end of life and will not receive a fix, so Airflow 2 users should upgrade to Apache Airflow 3.4.0 or later. |
| Apache Airflow's secrets masker matched sensitive key names only in their snake_case form, so values stored under camelCase keys such as `privateKey`, `connectionString`, `webhookUrl` or `accessKey` — for example in a Connection's extra or a Variable — were not redacted in task logs, rendered template fields or API responses. A user who can read task logs or rendered templates, but is not meant to see those credentials, could read them in cleartext. Users are advised to upgrade to apache-airflow 3.4.0 or later. Airflow 2.x is also affected; Airflow 2 has reached end of life and will not receive a fix, so Airflow 2 users should upgrade to Apache Airflow 3.4.0 or later. |
| The Apache Airflow connections API did not mask the apprise provider's `config` connection extra, which can embed notification-service credentials. A user with permission to read connections could retrieve it in cleartext, although Airflow 3 treats connection credentials as write-only.
Users are advised to upgrade to apache-airflow 3.4.0 or later. Airflow 2.x is also affected; Airflow 2 has reached end of life and will not receive a fix, so Airflow 2 users should upgrade to Apache Airflow 3.4.0 or later. |
| Apache Airflow's CLI records its arguments in the audit log but masks secrets by argument position, so some supported command shapes leave secrets in cleartext, for example a trailing `--description` on Variable commands, `--conn-extra`, and the inline `--password` of `airflow keycloak-auth-manager` commands. A user who can read audit events but is denied Variable and Connection access can retrieve those values through the event-log API.
Users of apache-airflow are recommended to upgrade to 3.4.0 or later. Audit-log entries written before the upgrade keep the cleartext values: purge the affected entries and rotate the secrets they contain. Airflow 2.x is also affected; Airflow 2 has reached end of life and will not receive a fix, so Airflow 2 users should upgrade to Apache Airflow 3.4.0 or later. |
| Apache Airflow's secrets masker stopped descending into nested structures after five levels, so a secret registered with the masker — for example a Connection password or a Variable value — that appeared more than five containers deep under non-sensitive keys was shown in cleartext in task logs and rendered template fields. A user who can read task logs or rendered templates, but is not meant to see those secrets, could read them. Users are advised to upgrade to apache-airflow 3.4.0 or later. Airflow 2.x is also affected; Airflow 2 has reached end of life and will not receive a fix, so Airflow 2 users should upgrade to Apache Airflow 3.4.0 or later. |
| Apache Airflow's audit log stored Connection and Variable secret values in cleartext in the `Log.extra` column because the secrets masker matched only on configured sensitive key names. An authenticated low-privilege user with read access to the event-log / audit API — with no prior access to the affected connection or variable — could read those rows and recover the credentials verbatim. Users should upgrade to apache-airflow 3.4.0 or later, which masks these values and restricts the affected audit rows to authorized users. Airflow 2.x is also affected; Airflow 2 has reached end of life and will not receive a fix, so Airflow 2 users should upgrade to Apache Airflow 3.4.0 or later. |
| Apache Airflow's public Import Errors API returns the raw parse-failure stack trace to any user with the `ImportError.can_read` permission when the failing file has no registered DAG. This happens when a file fails to parse before any DAG is defined, or when all of its previously registered DAGs are removed but the parse error remains. Users who should not see that file's details can read stack traces that may expose file paths and code.
Users are advised to upgrade to Apache Airflow 3.4.0 or later, which restricts these stack traces to users with the new `IMPORT_ERRORS_ALL` permission. |
| OAuth 1 rebinding vulnerability in Apache Allura.
This issue affects Apache Allura: through 1.22.0.
Users are recommended to upgrade to version 1.22.1, which fixes the issue. |
| The `example_dag_decorator` example Dag shipped with Apache Airflow validated an IP address fetched over HTTP with Python's `ipaddress` module and then placed it into a shell command. `ipaddress` accepts IPv6 zone identifiers containing arbitrary characters, so when example Dags are loaded (`load_examples` enabled), a user who can trigger that Dag with a custom `url` parameter could point it at a server whose response injects shell commands run on the worker. This is an incomplete fix for CVE-2025-54941; users who upgraded for CVE-2025-54941 should upgrade again. Users are advised to upgrade to apache-airflow 3.4.0 or later, or to disable example Dags (`load_examples = False`), which is recommended for production. |
| Apache Airflow's logout endpoint attempted to revoke the presented token on the server, but any failure during revocation was silently ignored and logout still reported success. When the auth manager redirects logout to an external logout URL (for example the FAB or Keycloak auth managers), server-side revocation is the only thing that invalidates the Airflow token; it failed on database errors and, reliably, for tokens from an external issuer accepted via `[api_auth] trusted_jwks_url` whose token identifier is longer than 32 characters. Anyone holding a copy of a user's token from before logout could keep using it against the Airflow API until it expired. Users are advised to upgrade to apache-airflow 3.4.0 or later. |
| Apache Airflow 3.3.1 shipped a fix for CVE-2026-67260 that checks the scheduler's decoded `next_kwargs` value is a dictionary, but performs that check only after deserializing the whole stored payload. Deserialization reconstructs nested objects of classes permitted by the deserialization allow-list — which by default includes Airflow's own classes — and runs their constructors inside the scheduler process before the check can reject the value. A Dag author, who controls a task's `next_kwargs` through the task execution API, can therefore still trigger constructor execution in the scheduler when the `awaiting_input` timeout sweep processes the task, and in the API server when the task instance is served to a worker using an older Execution API version; no non-default configuration is required. Versions before 3.3.0 are not affected. This is an incomplete fix for CVE-2026-67260: deployments that upgraded to 3.3.1 for that issue must also upgrade to apache-airflow 3.4.0 or later. |
