When users add resources to the resource center with a relation path will cause path traversal issues and only for logged-in users. You could upgrade to version 3.0.0 or higher

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

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, 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

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.

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.

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.

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.

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.

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.

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 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.

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 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 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.

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.

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.

# Summary Unauthorized users can perform Arbitrary File Read and Deserialization attack by submit job using restful api-v1. # Details Unauthorized users can access `/hazelcast/rest/maps/submit-job` to submit job. An attacker can set extra params in mysql url to perform Arbitrary File Read and Deserialization attack. This issue affects Apache SeaTunnel: <=2.3.10 # Fixed Users are recommended to upgrade to version 2.3.11, and enable restful api-v2 & open https two-way authentication , 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.

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.

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.

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.

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.

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 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).

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.

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.

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.

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 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.

Apache Airflow, versions before 2.7.1, is affected by a vulnerability that allows authenticated users who have access to see the task/dag in the UI, to craft a URL, which could lead to unmasking the secret configuration of the task that otherwise would be masked in the UI. Users are strongly advised to upgrade to version 2.7.1 or later which has removed the vulnerability.

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 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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 in Apache Airflow allowed authenticated UI users to view secret values in rendered templates due to secrets not being properly redacted, potentially exposing secrets to users without the appropriate authorization. Users are recommended to upgrade to version 3.1.4, which fixes this 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.