Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache Solr. The Solr Metrics API publishes all unprotected environment variables available to each Apache Solr instance. Users are able to specify which environment variables to hide, however, the default list is designed to work for known secret Java system properties. Environment variables cannot be strictly defined in Solr, like Java system properties can be, and may be set for the entire host, unlike Java system properties which are set per-Java-proccess. The Solr Metrics API is protected by the "metrics-read" permission. Therefore, Solr Clouds with Authorization setup will only be vulnerable via users with the "metrics-read" permission. This issue affects Apache Solr: from 9.0.0 before 9.3.0. Users are recommended to upgrade to version 9.3.0 or later, in which environment variables are not published via the Metrics API.

Apache Airflow, versions before 2.7.3, has a vulnerability that allows an authorized user who has access to read specific DAGs only, to read information about task instances in other DAGs.  This is a different issue than CVE-2023-42663 but leading to similar outcome. Users of Apache Airflow are advised to upgrade to version 2.7.3 or newer to mitigate the risk associated with this vulnerability.

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.

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.

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 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.

Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache Answer. This issue affects Apache Answer: through 2.0.0. The unlisted question feature did not enforce access restrictions on direct API endpoints, allowing authenticated users to discover and access unlisted questions, their answers, comments, and revision history. Users are recommended to upgrade to version 2.0.1, which fixes the 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 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.

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.

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.

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

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.

Apache Airflow, versions prior to 2.7.2, contains a security vulnerability that allows authenticated users of Airflow to list warnings for all DAGs, even if the user had no permission to see those DAGs. It would reveal the dag_ids and the stack-traces of import errors for those DAGs with import errors. Users of Apache Airflow are advised to upgrade to version 2.7.2 or newer to mitigate the risk associated with this vulnerability.

Apache Airflow, versions before 2.7.2, has a vulnerability that allows an authorized user who has access to read specific DAGs only, to read information about task instances in other DAGs. Users of Apache Airflow are advised to upgrade to version 2.7.2 or newer to mitigate the risk associated with this vulnerability.

In Apache Airflow, some potentially sensitive values were being shown to the user in certain situations. This vulnerability is mitigated by the fact configuration is not shown in the UI by default (only if `[webserver] expose_config` is set to `non-sensitive-only`), and not all uncensored values are actually sentitive. This issue affects Apache Airflow: from 2.5.0 before 2.6.2. Users are recommended to update to version 2.6.2 or later.

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.

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 Guacamole 1.3.0 and older may incorrectly include a private tunnel identifier in the non-private details of some REST responses. This may allow an authenticated user who already has permission to access a particular connection to read from or interact with another user's active use of that same connection.

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.

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.

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.

Since version 5.2.0, when using deferrable mode with the path of a Kubernetes configuration file for authentication, the Airflow worker serializes this configuration file as a dictionary and sends it to the triggerer by storing it in metadata without any encryption. Additionally, if used with an Airflow version between 2.3.0 and 2.6.0, the configuration dictionary will be logged as plain text in the triggerer service without masking. This allows anyone with access to the metadata or triggerer log to obtain the configuration file and use it to access the Kubernetes cluster. This behavior was changed in version 7.0.0, which stopped serializing the file contents and started providing the file path instead to read the contents into the trigger. Users are recommended to upgrade to version 7.0.0, which fixes this issue.

XML External Entity injection in apache ambari versions <= 2.7.7, Users are recommended to upgrade to version 2.7.8, which fixes this issue. More Details: Oozie Workflow Scheduler had a vulnerability that allowed for root-level file reading and privilege escalation from low-privilege users. The vulnerability was caused through lack of proper user input validation. This vulnerability is known as an XML External Entity (XXE) injection attack. Attackers can exploit XXE vulnerabilities to read arbitrary files on the server, including sensitive system files. In theory, it might be possible to use this to escalate privileges.

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. This issue was previously mentioned as being fixed in 0.21.0 as per CVE-2021-26920 but was not fixed in 0.21.0 or 0.21.1.

Insufficient Verification of Data Authenticity vulnerability in Apache InLong.This issue affects Apache InLong: from 1.4.0 through 1.8.0,  General user can view all user data like Admin account. Users are advised to upgrade to Apache InLong's 1.9.0 or cherry-pick [1] to solve it. [1]  https://github.com/apache/inlong/pull/8623

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.

All versions of Apache Santuario - XML Security for Java prior to 2.2.6, 2.3.4, and 3.0.3, when using the JSR 105 API, are vulnerable to an issue where a private key may be disclosed in log files when generating an XML Signature and logging with debug level is enabled. Users are recommended to upgrade to version 2.2.6, 2.3.4, or 3.0.3, which fixes this issue.

In Apache Linkis =1.4.0, due to the lack of effective filtering of parameters, an attacker configuring malicious Mysql JDBC parameters in the DataSource Manager Module will trigger arbitrary file reading. Therefore, the parameters in the Mysql JDBC URL should be blacklisted. This attack requires the attacker to obtain an authorized account from Linkis before it can be carried out. Versions of Apache Linkis = 1.4.0 will be affected.  We recommend users upgrade the version of Linkis to version 1.5.0.

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.

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.

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.

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.

Apache Airflow, versions before 2.6.3, is affected by a vulnerability that allows unauthorized read access to a DAG through the URL. It is recommended to upgrade to a version that is not affected

Apache Superset contains an improper access control vulnerability in its /explore endpoint. A missing authorization check allows an authenticated user to discover metadata about datasources they do not have permission to access. By iterating through the datasource_id in the URL, an attacker can enumerate and confirm the existence and names of protected datasources, leading to sensitive information disclosure. This issue affects Apache Superset: before 5.0.0. Users are recommended to upgrade to version 5.0.0, which fixes the issue.

Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') vulnerability in Apache OpenMeetings. This issue affects Apache OpenMeetings: from 5.0.0 before 9.1.0. An attacker with moderator rights in any room can read arbitrary files accessible to the OS account running the OM server, including credentials and secrets, via a crafted download request. Users are recommended to upgrade to version 9.1.0, which fixes the issue.

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.

Authenticated SSRF in Gravitino JobManager allows server-side HTTP requests to internal network and cloud metadata endpoints via unvalidated job template URIs. A vulnerability in Apache Gravitino. This issue affects Apache Gravitino: from 1.0.0 through 1.2.1. Users are recommended to upgrade to version 1.3.0, which fixes the issue.

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.

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.

Apache Airflow 3 introduced a change to the handling of sensitive information in Connections. The intent was to restrict access to sensitive connection fields to Connection Editing Users, effectively applying a "write-only" model for sensitive values. In Airflow 3.0.3, this model was unintentionally violated: sensitive connection information could be viewed by users with READ permissions through both the API and the UI. This behavior also bypassed the `AIRFLOW__CORE__HIDE_SENSITIVE_VAR_CONN_FIELDS` configuration option. This issue does not affect Airflow 2.x, where exposing sensitive information to connection editors was the intended and documented behavior. Users of Airflow 3.0.3 are advised to upgrade Airflow to >=3.0.4.

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.

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.

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.

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.

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.

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.

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.

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.