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.

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

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.

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).

An improper authorization vulnerability exists in Jenkins Mesos Plugin 0.17.1 and earlier in MesosCloud.java that allows attackers with Overall/Read access to obtain credentials IDs for credentials stored in Jenkins.

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.

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.

Incorrect Authorization vulnerability in Apache Software Foundation Apache Pulsar Function Worker. This issue affects Apache Pulsar: before 2.10.4, and 2.11.0. Any authenticated user can retrieve a source's configuration or a sink's configuration without authorization. Many sources and sinks contain credentials in the configuration, which could lead to leaked credentials. This vulnerability is mitigated by the fact that there is not a known way for an authenticated user to enumerate another tenant's sources or sinks, meaning the source or sink name would need to be guessed in order to exploit this vulnerability. The recommended mitigation for impacted users is to upgrade the Pulsar Function Worker to a patched version. 2.10 Pulsar Function Worker users should upgrade to at least 2.10.4. 2.11 Pulsar Function Worker users should upgrade to at least 2.11.1. 3.0 Pulsar Function Worker users are unaffected. Any users running the Pulsar Function Worker for 2.9.* and earlier should upgrade to one of the above patched versions.

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 1.5.1 allowed for authenticated users to access metadata information related to datasets they have no permission on. This metadata included the dataset name, columns and metrics.

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.

Apache Tomcat 6.x before 6.0.45, 7.x before 7.0.68, 8.x before 8.0.31, and 9.x before 9.0.0.M2 does not place org.apache.catalina.manager.StatusManagerServlet on the org/apache/catalina/core/RestrictedServlets.properties list, which allows remote authenticated users to bypass intended SecurityManager restrictions and read arbitrary HTTP requests, and consequently discover session ID values, via a crafted web application.

The File Browser View in Apache Ambari before 2.2.1 allows remote authenticated administrators to read arbitrary files via a file: URL in the WebHDFS URL configuration.

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.

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.

Directory traversal vulnerability in RequestUtil.java in Apache Tomcat 6.x before 6.0.45, 7.x before 7.0.65, and 8.x before 8.0.27 allows remote authenticated users to bypass intended SecurityManager restrictions and list a parent directory via a /.. (slash dot dot) in a pathname used by a web application in a getResource, getResourceAsStream, or getResourcePaths call, as demonstrated by the $CATALINA_BASE/webapps directory.

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.

The svn_repos_trace_node_locations function in Apache Subversion before 1.7.21 and 1.8.x before 1.8.14, when path-based authorization is used, allows remote authenticated users to obtain sensitive path information by reading the history of a node that has been moved from a hidden path.

Apache CloudStack before 4.5.2 might allow remote authenticated administrators to obtain sensitive password information for root accounts of virtual machines via unspecified vectors related to API calls.

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 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.

In Eclipse Jetty 9.4.32 to 9.4.38, 10.0.0.beta2 to 10.0.1, and 11.0.0.beta2 to 11.0.1, if a user uses a webapps directory that is a symlink, the contents of the webapps directory is deployed as a static webapp, inadvertently serving the webapps themselves and anything else that might be in that directory.

The default vhost configuration file in Puppet before 3.6.2 does not include the SSLCARevocationCheck directive, which might allow remote attackers to obtain sensitive information via a revoked certificate when a Puppet master runs with Apache 2.4.

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.

The (1) ListNetworkACL and (2) listNetworkACLLists APIs in Apache CloudStack before 4.2.1 allow remote authenticated users to list network ACLS for other users via a crafted request.

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.

In Apache Teaclave Rust SGX SDK 1.1.3, a side-channel vulnerability in base64 PEM file decoding allows system-level (administrator) attackers to obtain information about secret RSA keys via a controlled-channel and side-channel attack on software running in isolated environments that can be single stepped, especially Intel SGX.

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.

In Apache CloudStack 4.1.0 and 4.1.1, when calling the CloudStack API call listProjectAccounts as a regular, non-administrative user, the user is able to see information for accounts other than their own.

The users/get program in the User RPC API in Apache Rave 0.11 through 0.20 allows remote authenticated users to obtain sensitive information about all user accounts via the offset parameter, as demonstrated by discovering password hashes in the password field of a response.

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.

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.

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.

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.

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.

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.

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.