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

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.

Apache CXF's EndpointReferenceUtils and W3CMultiSchemaFactory classes construct a SAXParserFactory without the necessary JAXP hardening configurations, enabling out-of-band (OOB) external entity resolution. Users are recommended to upgrade to versions 4.2.2 or 4.1.7, which fix this issue.

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.

Path traversal vulnerability in Apache MINA SSHD bundle sshd-git. Lack of path validation in git-upload-pack, git-receive-pack, and other git operations allows users authenticated over SSH access to git repositories outside the configured git server root directory. Applications are affected if they use org.apache.sshd:sshd-git. Applications not using sshd-git are not affected. Users are advised to upgrade affected applications to Apche MINA SSHD 2.18.0, which fixes the issue. The issue also is present in the pre-release milestones 3.0.0-M1 to 3.0.0-M3 for a new upcoming new major version 3.0.0. Again, applications are affected only if they use sshd-git. Upgrade affected applications to 3.0.0-M4. We would like to point out that a professional git server should not rely solely on file system layout and permissions, but should implement additional security controls to govern access to git repositories and operations allowed on particular git repositories.

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).

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.

Allow authenticated users to access alert instances associated with alert groups they do not have permission to access. in Apache DolphinScheduler. This issue affects Apache DolphinScheduler: before 3.4.2. Users are recommended to upgrade to version 3.4.2, 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

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.

Incorrect Authorization vulnerability allows users to access workflow instance information belonging to projects they do not have permission to access. This issue affects Apache DolphinScheduler versions prior to 3.4.2. Users are recommended to upgrade to version 3.4.2, 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.

Improper Privilege Management, Improper Access Control vulnerability in Apache IoTDB. Authenticated users can escalate to full tree-path access by renaming themselves to __internal_auditor. This issue affects Apache IoTDB: from 2.0.8 before 2.0.10. Users are recommended to upgrade to version 2.0.10, which fixes the 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.

In the Pulsar manager 0.1.0 version, malicious users will be able to bypass pulsar-manager's admin, permission verification mechanism by constructing special URLs, thereby accessing any HTTP API.

An information disclosure issue was found in Apache Superset 0.34.0, 0.34.1, 0.35.0, and 0.35.1. Authenticated Apache Superset users are able to retrieve other users' information, including hashed passwords, by accessing an unused and undocumented API endpoint on Apache Superset.

When LDAP authentication is enabled in Apache Druid 0.17.0, callers of Druid APIs with a valid set of LDAP credentials can bypass the credentialsValidator.userSearch filter barrier that determines if a valid LDAP user is allowed to authenticate with Druid. They are still subject to role-based authorization checks, if configured. Callers of Druid APIs can also retrieve any LDAP attribute values of users that exist on the LDAP server, so long as that information is visible to the Druid server. This information disclosure does not require the caller itself to be a valid LDAP user.

Apache Airflow, versions before 2.6.3, is affected by a vulnerability that allows an unauthorized actor to gain access to sensitive information in Connection edit view. This vulnerability is considered low since it requires someone with access to Connection resources specifically updating the connection to exploit it. Users should upgrade to version 2.6.3 or later which has removed the vulnerability.

In Apache Linkis <=1.3.0 when used with the MySQL Connector/J in the data source module, an authenticated attacker could read arbitrary local files by connecting a rogue MySQL server, By adding allowLoadLocalInfile to true in the JDBC parameter. Therefore, the parameters in the JDBC URL should be blacklisted. Versions of Apache Linkis <= 1.3.0 will be affected.  We recommend users upgrade the version of Linkis to version 1.3.1

In Airflow versions prior to 1.10.13, when creating a user using airflow CLI, the password gets logged in plain text in the Log table in Airflow Metadatase. Same happened when creating a Connection with a password field.

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 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`.

Users can read any files by log server, Apache DolphinScheduler users should upgrade to version 2.0.6 or higher.

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.

Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache ShardingSphere ElasticJob-UI allows an attacker who has guest account to do privilege escalation. This issue affects Apache ShardingSphere ElasticJob-UI Apache ShardingSphere ElasticJob-UI 3.x version 3.0.0 and prior versions.

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.

In the TransformXML processor of Apache NiFi before 1.15.1 an authenticated user could configure an XSLT file which, if it included malicious external entity calls, may reveal sensitive information.

Apache Superset with custom roles that include `can write on dataset` and without all data access permissions, allows for users to create virtual datasets to data they don't have access to. These users could then use those virtual datasets to get access to unauthorized data. This issue affects Apache Superset: before 3.0.4, from 3.1.0 before 3.1.1. Users are recommended to upgrade to version 3.1.1 or 3.0.4, which fixes the issue.

Apache Superset up to and including 1.3.2 allowed for registered database connections password leak for authenticated users. This information could be accessed in a non-trivial way. Users should upgrade to Apache Superset 1.4.0 or higher.

In Apache Pulsar it is possible to access data from BookKeeper that does not belong to the topics accessible by the authenticated user. The Admin API get-message-by-id requires the user to input a topic and a ledger id. The ledger id is a pointer to the data, and it is supposed to be a valid it for the topic. Authorisation controls are performed against the topic name and there is not proper validation the that ledger id is valid in the context of such ledger. So it may happen that the user is able to read from a ledger that contains data owned by another tenant. This issue affects Apache Pulsar Apache Pulsar version 2.8.0 and prior versions; Apache Pulsar version 2.7.3 and prior versions; Apache Pulsar version 2.6.4 and prior versions.

Apache Superset up to and including 1.3.1 allowed for database connections password leak for authenticated users. This information could be accessed in a non-trivial way.

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 Kylin allows users to read data from other database systems using JDBC. The MySQL JDBC driver supports certain properties, which, if left unmitigated, can allow an attacker to execute arbitrary code from a hacker-controlled malicious MySQL server within Kylin server processes. This issue affects Apache Kylin 2 version 2.6.6 and prior versions; Apache Kylin 3 version 3.1.2 and prior versions.

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.

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.

In the Druid ingestion system, the InputSource is used for reading data from a certain data source. However, the HTTP InputSource allows authenticated users to read data from other sources than intended, such as the local file system, with the privileges of the Druid server process. This is not an elevation of privilege when users access Druid directly, since Druid also provides the Local InputSource, which allows the same level of access. But it is problematic when users interact with Druid indirectly through an application that allows users to specify the HTTP InputSource, but not the Local InputSource. In this case, users could bypass the application-level restriction by passing a file URL to the HTTP InputSource.

Improper Access Control on Configurations Endpoint for the Stable API of Apache Airflow allows users with Viewer or User role to get Airflow Configurations including sensitive information even when `[webserver] expose_config` is set to `False` in `airflow.cfg`. This allowed a privilege escalation attack. This issue affects Apache Airflow 2.0.0.

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

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.

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

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.

Improper privilege management in a REST interface allowed registered users to access unauthorized resources if the resource ID was know. This issue affects Apache StreamPipes: through 0.95.1. Users are recommended to upgrade to version 0.97.0 which fixes the issue.

Improper parsing of nested SQL statements on SQLLab would allow authenticated users to surpass their data authorization scope. This issue affects Apache Superset: before 3.0.4, from 3.1.0 before 3.1.1. Users are recommended to upgrade to version 3.1.1, 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.

When a DAG failed during parsing, Airflow’s error-reporting in the UI could include the full kwargs passed to the operators. If those kwargs contained sensitive values (such as secrets), they might be exposed in the UI tracebacks to authenticated users who had permission to view that DAG.  The issue has been fixed in Airflow 3.1.4 and 2.11.1, and users are strongly advised to upgrade to prevent potential disclosure of sensitive information.

The CloudStack Backup plugin has an improper access logic in versions 4.21.0.0 and 4.22.0.0. Anyone with authenticated user-account access in CloudStack 4.21.0.0+ environments, where this plugin is enabled and have access to specific APIs can create new VMs using backups of any other user of the environment. Backup plugin users using CloudStack 4.21.0.0+ are recommended to upgrade to CloudStack version 4.22.0.1, which fixes this issue.

The CloudStack Backup plugin has an improper authorization logic in versions 4.21.0.0 and 4.22.0.0. Anyone with authenticated user-account access in CloudStack 4.21.0.0+ environments, where this plugin is enabled and has access to specific APIs can list backups from any account in the environment. This vulnerability does not allow them to see the contents of the backup. Users are recommended to upgrade to version 4.22.0.1, which fixes the issue.

A vulnerability. When org.apache.linkis.metadata.util.HiveUtils.decode() fails to perform Base64 decoding, it records the complete input parameter string in the log via logger.error(str + "decode failed", e). If the input parameter contains sensitive information such as Hive Metastore keys, plaintext passwords will be left in the log files when decoding fails, resulting in information leakage. Affected Scope Component: Sensitive fields in hive-site.xml (e.g., javax.jdo.option.ConnectionPassword) or other fields encoded in Base64. Version: Apache Linkis 1.0.0 – 1.7.0 Trigger Conditions The value of the configuration item is an invalid Base64 string. Log files are readable by users other than hive-site.xml administrators. Severity: Low The probability of Base64 decoding failure is low. The leakage is only triggered when logs at the Error level are exposed. Remediation Apache Linkis 1.8.0 and later versions have replaced the log with desensitized content. logger.error("URL decode failed: {}", e.getMessage()); // 不再输出 str Users are recommended to upgrade to version 1.8.0, which fixes the issue.

A bypass of the DISALLOWED_SQL_FUNCTIONS security feature in Apache Superset allows for the execution of blocked SQL functions. An attacker can use a special inline block to circumvent the denylist. This allows a user with SQL Lab access to execute functions that were intended to be disabled, leading to the disclosure of sensitive database information like the software version. This issue affects Apache Superset: before 5.0.0. Users are recommended to upgrade to version 5.0.0, which fixes the issue.