Improper Handling of Insufficient Privileges vulnerability in Apache OpenMeetings. Any registered user can query web service with their credentials and get files/sub-folders of any folder by ID (metadata only NOT contents). Metadata includes id, type, name and some other field. Full list of fields get be checked at FileItemDTO object. This issue affects Apache OpenMeetings: from 3.10 before 9.0.0. Users are recommended to upgrade to version 9.0.0, which fixes the issue.

Improper validation and restriction of a classpath path name vulnerability in Apache ActiveMQ Client, Apache ActiveMQ Broker, Apache ActiveMQ All, Apache ActiveMQ Web, Apache ActiveMQ. In two instances (when creating a Stomp consumer and also browsing messages in the Web console) an authenticated user provided "key" value could be constructed to traverse the classpath due to path concatenation. As a result, the application is exposed to a classpath path resource loading vulnerability that could potentially be chained together with another attack to lead to exploit. This issue affects Apache ActiveMQ Client: before 5.19.3, from 6.0.0 before 6.2.2; Apache ActiveMQ Broker: before 5.19.3, from 6.0.0 before 6.2.2; Apache ActiveMQ All: before 5.19.3, from 6.0.0 before 6.2.2; Apache ActiveMQ Web: before 5.19.3, from 6.0.0 before 6.2.2; Apache ActiveMQ: before 5.19.3, from 6.0.0 before 6.2.2. Users are recommended to upgrade to version 5.19.4 or 6.2.3, which fixes the issue. Note: 5.19.3 and 6.2.2 also fix this issue, but that is limited to non-Windows environments due to a path separator resolution bug fixed in 5.19.4 and 6.2.3.

Apache Airflow versions 3.0.0 through 3.1.7 FastAPI DagVersion listing API does not apply per-DAG authorization filtering when the request is made with dag_id set to "~" (wildcard for all DAGs). As a result, version metadata of DAGs that the requester is not authorized to access is returned. Users are recommended to upgrade to Apache Airflow 3.1.8 or later, which resolves this issue.

Improper handling of configuration values in ZKConfig in Apache ZooKeeper 3.8.5 and 3.9.4 on all platforms allows an attacker to expose sensitive information stored in client configuration in the client's logfile. Configuration values are exposed at INFO level logging rendering potential production systems affected by the issue. Users are recommended to upgrade to version 3.8.6 or 3.9.5 which fixes this issue.

Apache Airflow versions 3.0.0 - 3.1.7, has vulnerability that allows authenticated UI users with permission to one or more specific Dags to view import errors generated by other Dags they did not have access to. Users are advised to upgrade to 3.1.7 or later, which resolves this issue

The XMLFileLookupService in NiFi versions 1.3.0 to 1.9.2 allowed trusted users to inadvertently configure a potentially malicious XML file. The XML file has the ability to make external calls to services (via XXE) and reveal information such as the versions of Java, Jersey, and Apache that the NiFI instance uses.

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 `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.

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.

Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache Airflow.This issue affects Apache Airflow from 2.4.0 to 2.7.0. Sensitive configuration information has been exposed to authenticated users with the ability to read configuration via Airflow REST API for configuration even when the expose_config option is set to non-sensitive-only. The expose_config option is False by default. It is recommended to upgrade to a version that is not affected if you set expose_config to non-sensitive-only configuration. This is a different error than CVE-2023-45348 which allows authenticated user to retrieve individual configuration values in 2.7.* by specially crafting their request (solved in 2.7.2). Users are recommended to upgrade to version 2.7.2, which fixes the issue and additionally fixes CVE-2023-45348.

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.

Relative Path Traversal vulnerability in Apache Ignite REST API. Authenticated REST API users can read any file on the server with "cmd=log" command and a log path crafted in a certain way. This issue affects Apache Ignite: from 2.0.0 through 2.17.0. Users are recommended to upgrade to version 2.18.0, which fixes the issue.

An authenticated malicious actor using specially crafted requests could bypass row level security configuration by injecting SQL into 'sqlExpression' fields. This allowed the execution of sub-queries to evade parsing defenses ultimately granting unauthorized access to data. This issue affects Apache Superset: before 4.1.2. Users are recommended to upgrade to version 4.1.2, which fixes the issue.

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.

An LDAP injection vulnerability in the LDAP Certificate repository of the XKMS server in Apache CXF may allow an attacker to retrieve arbitrary certificates from the repository.  Users are recommended to upgrade to versions 4.2.1, 4.1.6 or 3.6.11, which fix this issue.

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.

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

Insertion of Sensitive Information into Log File vulnerability in Apache ActiveMQ Artemis. All the values of the broker properties are logged when the org.apache.activemq.artemis.core.config.impl.ConfigurationImpl logger has the debug level enabled. This issue affects Apache ActiveMQ Artemis: from 1.5.1 before 2.40.0. It can be mitigated by restricting log access to only trusted users. Users are recommended to upgrade to version 2.40.0, which fixes the issue.

CloudStack users can add and read comments (annotations) on resources they are authorised to access.  Due to an access validation issue that affects Apache CloudStack versions from 4.16.0, users who have access, prior access or knowledge of resource UUIDs can list and add comments (annotations) to such resources.  An attacker with a user-account and access or prior knowledge of resource UUIDs may exploit this issue to read contents of the comments (annotations) or add malicious comments (annotations) to such resources.  This may cause potential loss of confidentiality of CloudStack environments and resources if the comments (annotations) contain any privileged information. However, guessing or brute-forcing resource UUIDs are generally hard to impossible and access to listing or adding comments isn't same as access to CloudStack resources, making this issue of very low severity and general low impact. CloudStack admins may also disallow listAnnotations and addAnnotation API access to non-admin roles in their environment as an interim measure.

In Apache APISIX, the user enabled the Admin API and deleted the Admin API access IP restriction rules. Eventually, the default token is allowed to access APISIX management data. This affects versions 1.2, 1.3, 1.4, 1.5.

If an HTTP/2 client connecting to Apache Tomcat 10.0.0-M1 to 10.0.0-M7, 9.0.0.M1 to 9.0.37 or 8.5.0 to 8.5.57 exceeded the agreed maximum number of concurrent streams for a connection (in violation of the HTTP/2 protocol), it was possible that a subsequent request made on that connection could contain HTTP headers - including HTTP/2 pseudo headers - from a previous request rather than the intended headers. This could lead to users seeing responses for unexpected resources.

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.

An improper authorization vulnerability has been identified in Apache Kafka. The implementation of the CONSUMER_GROUP_DESCRIBE (69) API validates the DESCRIBE operation on the GROUP resource instead of the READ operation that documented in the official kafka documentation and the KIP-848. This discrepancy can result in misconfigured Access Control Lists (ACLs) and unintended security postures, like granting READ permission to users who should not be able to join/sync groups, or allowing users without READ permission (but with DESCRIBE permission) to access sensitive group metadata. The correct permission for CONSUMER_GROUP_DESCRIBE API is DESCRIBE GROUP so the current implementation is correct. However, the kafka documentation as well as the KIP-848 will be updated to reflect the correct permission. We advise the Kafka users to review existing group ACLs to ensure the principle of least privilege.

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.

Apache Guacamole 1.2.0 and earlier do not consistently restrict access to connection history based on user visibility. If multiple users share access to the same connection, those users may be able to see which other users have accessed that connection, as well as the IP addresses from which that connection was accessed, even if those users do not otherwise have permission to see other users.

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.

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.

An Incorrect authorisation check in SQLLab in Apache Superset versions up to and including 2.1.0. This vulnerability allows an authenticated user to query tables that they do not have proper access to within Superset. The vulnerability can be exploited by leveraging a SQL parsing vulnerability.

Apache Airflow, versions before 2.8.1, have a vulnerability that allows an authenticated user to access the source code of a DAG to which they don't have access. This vulnerability is considered low since it requires an authenticated user to exploit it. Users are recommended to upgrade to version 2.8.1, which fixes this issue.

Files or Directories Accessible to External Parties, Server-Side Request Forgery (SSRF) vulnerability in Apache Flink Kubernetes Operator. The FlinkSessionJob jarURI is currently not validated so that it points to user-owned files or addresses.  This lets a user with CR create permissions read files from the operator pod's filesystem and pull content from any backing store reachable through Flink's pluggable filesystem layer and access them through the submitted Flink job. Furthermore for fetching from http/https addresses there is currently no allowlist on the URI scheme, no host check, no IP-range restriction, and no protection against pointing the URI at internal or link-local addresses.This issue affects Apache Flink Kubernetes Operator: from 1.3.0 before 1.15.0. Users are recommended to upgrade to version 1.15.0, which fixes the issue.

Server-Side Request Forgery (SSRF) vulnerability in Apache HertzBeat. This issue affects Apache HertzBeat (incubating): before 1.7.0. Users are recommended to upgrade to version 1.7.0, which fixes the issue.

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.

An authenticated user with specific data permissions could access database connections stored passwords by requesting a specific REST API. This issue affects Apache Superset version 1.3.0 up to 2.0.1.

Insecure Default Initialization of Resource Vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.5.0 through 1.6.0. Users registered in InLong who joined later can see deleted users' data. Users are advised to upgrade to Apache InLong's 1.7.0 or cherry-pick https://github.com/apache/inlong/pull/7836 https://github.com/apache/inlong/pull/7836 to solve it.

In Apache Solr, the cluster can be partitioned into multiple collections and only a subset of nodes actually host any given collection. However, if a node receives a request for a collection it does not host, it proxies the request to a relevant node and serves the request. Solr bypasses all authorization settings for such requests. This affects all Solr versions prior to 7.7 that use the default authorization mechanism of Solr (RuleBasedAuthorizationPlugin).

Server-Side Request Forgery (SSRF) vulnerability in Apache Kylin. Through a kylin server, an attacker may forge a request to invoke "/kylin/api/xxx/diag" api on another internal host and possibly get leaked information. There are two preconditions: 1) The attacker has got admin access to a kylin server; 2) Another internal host has the "/kylin/api/xxx/diag" api endpoint open for service. This issue affects Apache Kylin: from 5.0.0 through 5.0.1. Users are recommended to upgrade to version 5.0.2, which fixes the issue.

Apache Druid allows users with certain permissions to read data from other database systems using JDBC. This functionality allows trusted users to set up Druid lookups or run ingestion tasks. Druid also allows administrators to configure a list of allowed properties that users are able to provide for their JDBC connections. By default, this allowed properties list restricts users to TLS-related properties only. However, when configuration a MySQL JDBC connection, users can use a particularly-crafted JDBC connection string to provide properties that are not on this allow list. Users without the permission to configure JDBC connections are not able to exploit this vulnerability. CVE-2021-26919 describes a similar vulnerability which was partially addressed in Apache Druid 0.20.2. This issue is fixed in Apache Druid 30.0.1.

An SQL Injection vulnerability in Apache Superset exists due to improper neutralization of special elements used in SQL commands. Specifically, certain engine-specific functions are not checked, which allows attackers to bypass Apache Superset's SQL authorization. To mitigate this, a new configuration key named DISALLOWED_SQL_FUNCTIONS has been introduced. This key disallows the use of the following PostgreSQL functions: version, query_to_xml, inet_server_addr, and inet_client_addr. Additional functions can be added to this list for increased protection. This issue affects Apache Superset: before 4.0.2. Users are recommended to upgrade to version 4.0.2, which fixes the issue.

Apache Pulsar contains multiple connectors for integrating with Apache Kafka. The Pulsar IO Apache Kafka Source Connector, Sink Connector, and Kafka Connect Adaptor Sink Connector log sensitive configuration properties in plain text in application logs. This vulnerability can lead to unintended exposure of credentials in log files, potentially allowing attackers with access to these logs to obtain Apache Kafka credentials. The vulnerability's impact is limited by the fact that an attacker would need access to the application logs to exploit this issue. This issue affects Apache Pulsar IO's Apache Kafka connectors in all versions before 3.0.11, 3.3.6, and 4.0.4. 3.0.x version users should upgrade to at least 3.0.11. 3.3.x version users should upgrade to at least 3.3.6. 4.0.x version users should upgrade to at least 4.0.4. Users operating versions prior to those listed above should upgrade to the aforementioned patched versions or newer versions.

On versions before 2.1.4, after a regular user successfully logs in, they can manually make a request using the authorization token to view everyone's user flink information, including executeSQL and config. Mitigation: all users should upgrade to 2.1.4

Improper data authorization check on Jinja templated queries in Apache Superset up to and including 2.1.0 allows for an authenticated user to issue queries on database tables they may not have access to.

An authenticated user with Gamma role authorization could have access to metadata information using non trivial methods in Apache Superset up to and including 2.0.1

The `access_key` and `connection_string` connection properties were not marked as sensitive names in secrets masker. This means that user with read permission could see the values in Connection UI, as well as when Connection was accidentaly logged to logs, those values could be seen in the logs. Azure Service Bus used those properties to store sensitive values. Possibly other providers could be also affected if they used the same fields to store sensitive data. If you used Azure Service Bus connection with those values set or if you have other connections with those values storing sensitve values, you should upgrade Airflow to 3.1.8

Insertion of Sensitive Information into Log File vulnerability in the Apache Solr Operator. This issue affects all versions of the Apache Solr Operator from 0.3.0 through 0.8.0. When asked to bootstrap Solr security, the operator will enable basic authentication and create several accounts for accessing Solr: including the "solr" and "admin" accounts for use by end-users, and a "k8s-oper" account which the operator uses for its own requests to Solr. One common source of these operator requests is healthchecks: liveness, readiness, and startup probes are all used to determine Solr's health and ability to receive traffic. By default, the operator configures the Solr APIs used for these probes to be exempt from authentication, but users may specifically request that authentication be required on probe endpoints as well. Whenever one of these probes would fail, if authentication was in use, the Solr Operator would create a Kubernetes "event" containing the username and password of the "k8s-oper" account. Within the affected version range, this vulnerability affects any solrcloud resource which (1) bootstrapped security through use of the `.solrOptions.security.authenticationType=basic` option, and (2) required authentication be used on probes by setting `.solrOptions.security.probesRequireAuth=true`. Users are recommended to upgrade to Solr Operator version 0.8.1, which fixes this issue by ensuring that probes no longer print the credentials used for Solr requests.  Users may also mitigate the vulnerability by disabling authentication on their healthcheck probes using the setting `.solrOptions.security.probesRequireAuth=false`.

Files or Directories Accessible to External Parties, Improper Privilege Management vulnerability in Apache Kafka Clients. Apache Kafka Clients accept configuration data for customizing behavior, and includes ConfigProvider plugins in order to manipulate these configurations. Apache Kafka also provides FileConfigProvider, DirectoryConfigProvider, and EnvVarConfigProvider implementations which include the ability to read from disk or environment variables. In applications where Apache Kafka Clients configurations can be specified by an untrusted party, attackers may use these ConfigProviders to read arbitrary contents of the disk and environment variables. In particular, this flaw may be used in Apache Kafka Connect to escalate from REST API access to filesystem/environment access, which may be undesirable in certain environments, including SaaS products. This issue affects Apache Kafka Clients: from 2.3.0 through 3.5.2, 3.6.2, 3.7.0. Users with affected applications are recommended to upgrade kafka-clients to version >=3.8.0, and set the JVM system property "org.apache.kafka.automatic.config.providers=none". Users of Kafka Connect with one of the listed ConfigProvider implementations specified in their worker config are also recommended to add appropriate "allowlist.pattern" and "allowed.paths" to restrict their operation to appropriate bounds. For users of Kafka Clients or Kafka Connect in environments that trust users with disk and environment variable access, it is not recommended to set the system property. For users of the Kafka Broker, Kafka MirrorMaker 2.0, Kafka Streams, and Kafka command-line tools, it is not recommended to set the system property.

Improper Input Validation vulnerability in Apache Zeppelin. By adding relative path indicators(E.g ..), attackers can see the contents for any files in the filesystem that the server account can access.  This issue affects Apache Zeppelin: from 0.9.0 before 0.11.0. Users are recommended to upgrade to version 0.11.0, which fixes the issue.

Apache Superset utilizes a configurable dictionary, DISALLOWED_SQL_FUNCTIONS, to restrict the execution of potentially sensitive SQL functions within SQL Lab and charts. While this feature included restrictions for engines like PostgreSQL, a vulnerability was reported where the default list for the ClickHouse engine was incomplete. This issue affects Apache Superset: before 4.1.2. Users are recommended to upgrade to version 4.1.2, which fixes the issue.

Apache Airflow versions 3.1.0 through 3.1.6 contain an authorization flaw that can allow an authenticated user with custom permissions limited to task access to view task logs without having task log access. Users are recommended to upgrade to Apache Airflow 3.1.7 or later, which resolves this issue.

An authenticated user could potentially access metadata for a datasource they are not authorized to view by submitting a targeted REST API request.This issue affects Apache Superset: before 3.1.2. Users are recommended to upgrade to version 3.1.2 or above, which fixes the issue.

Apache Airflow, versions before 2.6.3, is affected by a vulnerability that allows an attacker to perform unauthorized file access outside the intended directory structure by manipulating the run_id parameter. This vulnerability is considered low since it requires an authenticated user to exploit it. It is recommended to upgrade to a version that is not affected