Apache

An Improper Input Validation vulnerability exists in Apache Superset that allows an authenticated user with SQLLab access to bypass the read-only verification check when using a PostgreSQL database connection. While the system effectively blocks standard Data Manipulation Language (DML) statements (e.g., INSERT, UPDATE, DELETE) on read-only connections, it fails to detect them in specially crafted SQL statements. This issue affects Apache Superset: before 6.0.0. Users are recommended to upgrade to version 6.0.0, which fixes the issue.Show less

A Sensitive Data Exposure vulnerability exists in Apache Superset allowing authenticated users to retrieve sensitive user information. The Tag endpoint (disabled by default) allows users to retrieve a list of objects associated with a specific tag. When these associated objects include Users, the API response improperly serializes and returns sensitive fields, including password hashes (pbkdf2), email addresses, and login statistics. This vulnerability allows authenticated users with low privileges (e.g., Gamma role) to view sensitive authentication data This issue affects Apache Superset: before 6.0.0. Users are recommended to upgrade to version 6.0.0, which fixes the issue or make sure TAGGING_SYSTEM is False (Apache Superset current default)Show less

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to write datasets and read charts can bypass these checks by overwriting the SQL query of an existing dataset. This issue affects Apache Superset: before 6.0.0. Users are recommended to upgrade to version 6.0.0, which fixes the issue.Show less

Improper Neutralization of Special Elements used in a SQL Command ('SQL Injection') vulnerability in Apache Superset allows an authenticated user with read access to conduct error-based SQL injection via the sqlExpression or where parameters. This issue affects Apache Superset: before 6.0.0. Users are recommended to upgrade to version 6.0.0, which fixes the issue.Show less

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.Show less

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-2024-50378Show less

DAG Author (who already has quite a lot of permissions) could manipulate database of Airflow 2 in the way to execute arbitrary code in the web-server context, which they should normally not be able to do, leading to potentially remote code execution in the context of web-server (server-side) as a result of a user viewing historical task information. The functionality responsible for that (log template history) has been disabled by default in 2.11.1 and users should upgrade to Airflow 3 if they want to continue to use log template history. They can also manually modify historical log file names if they want to see historical logs that were generated before the last log template change.Show less

Deserialization of Untrusted Data vulnerability in Apache Camel LevelDB component. The Camel-LevelDB DefaultLevelDBSerializer class deserializes data read from the LevelDB aggregation repository using java.io.ObjectInputStream without applying any ObjectInputFilter or class-loading restrictions. An attacker who can write to the LevelDB database files used by a Camel application can inject a crafted serialized Java object that, when deserialized during normal aggregation repository operations, results in arbitrary code execution in the context of the application. This issue affects Apache Camel: from 4.10.0 before 4.10.8, from 4.14.0 before 4.14.5, from 4.15.0 before 4.18.0. Users are recommended to upgrade to version 4.18.0, which fixes the issue. For the 4.10.x LTS releases, users are recommended to upgrade to 4.10.9, while for 4.14.x LTS releases, users are recommended to upgrade to 4.14.5Show less

Cross-Realm Token Acceptance Bypass in KeycloakSecurityPolicy Apache Camel Keycloak component.  The Camel-Keycloak KeycloakSecurityPolicy does not validate the iss (issuer) claim of JWT tokens against the configured realm. A token issued by one Keycloak realm is silently accepted by a policy configured for a completely different realm, breaking tenant isolation. This issue affects Apache Camel: from 4.15.0 before 4.18.0. Users are recommended to upgrade to version 4.18.0, which fixes the issue.Show less

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.Show less

Improper Input Validation vulnerability in Apache Tomcat Native, Apache Tomcat. When using an OCSP responder, Tomcat Native (and Tomcat's FFM port of the Tomcat Native code) did not complete verification or freshness checks on the OCSP response which could allow certificate revocation to be bypassed. This issue affects Apache Tomcat Native:  from 1.3.0 through 1.3.4, from 2.0.0 through 2.0.11; Apache Tomcat: from 11.0.0-M1 through 11.0.17, from 10.1.0-M7 through 10.1.51, from 9.0.83 through 9.0.114. The following versions were EOL at the time the CVE was created but are known to be affected: from 1.1.23 through 1.1.34, from 1.2.0 through 1.2.39. Older EOL versions are not affected. Apache Tomcat Native users are recommended to upgrade to versions 1.3.5 or later or 2.0.12 or later, which fix the issue. Apache Tomcat users are recommended to upgrade to versions 11.0.18 or later, 10.1.52 or later or 9.0.115 or later which fix the issue.Show less

Improper Input Validation vulnerability in Apache Tomcat. Tomcat did not limit HTTP/0.9 requests to the GET method. If a security constraint was configured to allow HEAD requests to a URI but deny GET requests, the user could bypass that constraint on GET requests by sending a (specification invalid) HEAD request using HTTP/0.9. This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.14, from 10.1.0-M1 through 10.1.49, from 9.0.0.M1 through 9.0.112. Older, EOL versions are also affected. Users are recommended to upgrade to version 11.0.15 or later, 10.1.50 or later or 9.0.113 or later, which fixes the issue.Show less

Improper Input Validation vulnerability. This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.14, from 10.1.0-M1 through 10.1.49, from 9.0.0-M1 through 9.0.112. The following versions were EOL at the time the CVE was created but are known to be affected: 8.5.0 through 8.5.100. Older EOL versions are not affected. Tomcat did not validate that the host name provided via the SNI extension was the same as the host name provided in the HTTP host header field. If Tomcat was configured with more than one virtual host and the TLS configuration for one of those hosts did not require client certificate authentication but another one did, it was possible for a client to bypass the client certificate authentication by sending different host names in the SNI extension and the HTTP host header field. The vulnerability only applies if client certificate authentication is only enforced at the Connector. It does not apply if client certificate authentication is enforced at the web application. Users are recommended to upgrade to version 11.0.15 or later, 10.1.50 or later or 9.0.113 or later, which fix the issue.Show less

Use After Free vulnerability in Apache Arrow C++. This issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a `std::shared_ptr<Buffer>` object) that is written to the dangling pointer is not under direct control of the attacker. Pre-buffering is disabled by default but can be enabled using a specific C++ API call (`RecordBatchFileReader::PreBufferMetadata`). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable. The most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker. Advice for users of Arrow C++: 1. check whether you enable pre-buffering on the IPC file reader (using `RecordBatchFileReader::PreBufferMetadata`) 2. if so, either disable pre-buffering (which may have adverse performance consequences), or switch to Arrow 23.0.1 which is not vulnerableShow less

Apache NiFi 1.1.0 through 2.7.2 are missing authorization when updating configuration properties on extension components that have specific Required Permissions based on the Restricted annotation. The Restricted annotation indicates additional privileges required to add the annotated component to the flow configuration, but framework authorization did not check restricted status when updating a component previously added. The missing authorization requires a more privileged user to add a restricted component to the flow configuration, but permits a less privileged user to make property configuration changes. Apache NiFi installations that do not implement different levels of authorization for Restricted components are not subject to this vulnerability because the framework enforces write permissions as the security boundary. Upgrading to Apache NiFi 2.8.0 is the recommended mitigation.Show less

Improper Control of Generation of Code ('Code Injection') vulnerability in Apache Avro Java SDK when generating specific records from untrusted Avro schemas. This issue affects Apache Avro Java SDK: all versions through 1.11.4 and version 1.12.0. Users are recommended to upgrade to version 1.12.1 or 1.11.5, which fix the issue.Show less

Improper Neutralization of Data within XPath Expressions ('XPath Injection') vulnerability in Apache HertzBeat. This issue affects Apache HertzBeat: from 1.7.1 before 1.8.0. Users are recommended to upgrade to version 1.8.0, which fixes the issue.Show less

Affected Products and Versions * Apache Druid * Affected Versions: 0.17.0 through 35.x (all versions prior to 36.0.0) * Prerequisites: * druid-basic-security extension enabled * LDAP authenticator configured * Underlying LDAP server permits anonymous bind                                                                                                                                                    Vulnerability Description An authentication bypass vulnerability exists in Apache Druid when using the druid-basic-security extension with LDAP authentication. If the underlying LDAP server is configured to allow anonymous binds, an attacker can bypass authentication by providing an existing username with an empty password. This allows unauthorized access to otherwise restricted Druid resources without valid credentials. The vulnerability stems from improper validation of LDAP authentication responses when anonymous binds are permitted, effectively treating anonymous bind success as valid user authentication. Impact A remote, unauthenticated attacker can: * Gain unauthorized access to the Apache Druid cluster * Access sensitive data stored in Druid datasources * Execute queries and potentially manipulate data * Access administrative interfaces if the bypassed account has elevated privileges * Completely compromise the confidentiality, integrity, and availability of the Druid deployment                                                                                                                                                                                     Mitigation   Immediate Mitigation (No Druid Upgrade Required):                                                                                                                                                   * Disable anonymous bind on your LDAP server. This prevents the vulnerability from being exploitable and is the recommended immediate action. Resolution * Upgrade Apache Druid to version 36.0.0 or later, which includes fixes to properly reject anonymous LDAP bind attempts.Show less

Observable Timing Discrepancy vulnerability in Apache Shiro. This issue affects Apache Shiro: from 1.*, 2.* before 2.0.7. Users are recommended to upgrade to version 2.0.7 or later, which fixes the issue. Prior to Shiro 2.0.7, code paths for non-existent vs. existing users are different enough, that a brute-force attack may be able to tell, by timing the requests only, determine if the request failed because of a non-existent user vs. wrong password. The most likely attack vector is a local attack only. Shiro security model  https://shiro.apache.org/security-model.html#username_enumeration  discusses this as well. Typically, brute force attack can be mitigated at the infrastructure level.Show less