Filtered by vendor Apache
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Total
681 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2023-33234 | 1 Apache | 1 Airflow Cncf Kubernetes | 2023-12-10 | N/A | 7.2 HIGH |
| Arbitrary code execution in Apache Airflow CNCF Kubernetes provider version 5.0.0 allows user to change xcom sidecar image and resources via Airflow connection. In order to exploit this weakness, a user would already need elevated permissions (Op or Admin) to change the connection object in this manner. Operators should upgrade to provider version 7.0.0 which has removed the vulnerability. | |||||
| CVE-2023-22886 | 1 Apache | 1 Apache-airflow-providers-jdbc | 2023-12-10 | N/A | 8.8 HIGH |
| Improper Input Validation vulnerability in Apache Software Foundation Apache Airflow JDBC Provider. Airflow JDBC Provider Connection’s [Connection URL] parameters had no restrictions, which made it possible to implement RCE attacks via different type JDBC drivers, obtain airflow server permission. This issue affects Apache Airflow JDBC Provider: before 4.0.0. | |||||
| CVE-2023-28935 | 1 Apache | 1 Unstructured Information Management Architecture | 2023-12-10 | N/A | 8.8 HIGH |
| ** UNSUPPORTED WHEN ASSIGNED ** Improper Neutralization of Special Elements used in a Command ('Command Injection') vulnerability in Apache Software Foundation Apache UIMA DUCC. When using the "Distributed UIMA Cluster Computing" (DUCC) module of Apache UIMA, an authenticated user that has the permissions to modify core entities can cause command execution as the system user that runs the web process. As the "Distributed UIMA Cluster Computing" module for UIMA is retired, we do not plan to release a fix for this issue. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. | |||||
| CVE-2023-30575 | 1 Apache | 1 Guacamole | 2023-12-10 | N/A | 7.5 HIGH |
| Apache Guacamole 1.5.1 and older may incorrectly calculate the lengths of instruction elements sent during the Guacamole protocol handshake, potentially allowing an attacker to inject Guacamole instructions during the handshake through specially-crafted data. | |||||
| CVE-2023-24977 | 1 Apache | 1 Inlong | 2023-12-10 | N/A | 7.5 HIGH |
| Out-of-bounds Read vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.1.0 through 1.5.0. Users are advised to upgrade to Apache InLong's latest version or cherry-pick https://github.com/apache/inlong/pull/7214 https://github.com/apache/inlong/pull/7214 to solve it. | |||||
| CVE-2022-44645 | 1 Apache | 1 Linkis | 2023-12-10 | N/A | 8.8 HIGH |
| In Apache Linkis <=1.3.0 when used with the MySQL Connector/J, a deserialization vulnerability with possible remote code execution impact exists when an attacker has write access to a database and configures new datasource with a MySQL data source and malicious parameters. Therefore, the parameters in the jdbc url should be blacklisted. Versions of Apache Linkis <= 1.3.0 will be affected. We recommend users to upgrade the version of Linkis to version 1.3.1. | |||||
| CVE-2022-41131 | 1 Apache | 2 Airflow, Apache-airflow-providers-apache-hive | 2023-12-10 | N/A | 7.8 HIGH |
| Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Apache Airflow Hive Provider, Apache Airflow allows an attacker to execute arbtrary commands in the task execution context, without write access to DAG files. This issue affects Hive Provider versions prior to 4.1.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case HIve Provider is installed (Hive Provider 4.1.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the HIve Provider version 4.1.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Hive Provider installed). | |||||
| CVE-2022-45786 | 1 Apache | 1 Age | 2023-12-10 | N/A | 8.1 HIGH |
| There are issues with the AGE drivers for Golang and Python that enable SQL injections to occur. This impacts AGE for PostgreSQL 11 & AGE for PostgreSQL 12, all versions up-to-and-including 1.1.0, when using those drivers. The fix is to update to the latest Golang and Python drivers in addition to the latest version of AGE that is used for PostgreSQL 11 or PostgreSQL 12. The update of AGE will add a new function to enable parameterization of the cypher() function, which, in conjunction with the driver updates, will resolve this issue. Background (for those who want more information): After thoroughly researching this issue, we found that due to the nature of the cypher() function, it was not easy to parameterize the values passed into it. This enabled SQL injections, if the developer of the driver wasn't careful. The developer of the Golang and Pyton drivers didn't fully utilize parameterization, likely because of this, thus enabling SQL injections. The obvious fix to this issue is to use parameterization in the drivers for all PG SQL queries. However, parameterizing all PG queries is complicated by the fact that the cypher() function call itself cannot be parameterized directly, as it isn't a real function. At least, not the parameters that would take the graph name and cypher query. The reason the cypher() function cannot have those values parameterized is because the function is a placeholder and never actually runs. The cypher() function node, created by PG in the query tree, is transformed and replaced with a query tree for the actual cypher query during the analyze phase. The problem is that parameters - that would be passed in and that the cypher() function transform needs to be resolved - are only resolved in the execution phase, which is much later. Since the transform of the cypher() function needs to know the graph name and cypher query prior to execution, they can't be passed as parameters. The fix that we are testing right now, and are proposing to use, is to create a function that will be called prior to the execution of the cypher() function transform. This new function will allow values to be passed as parameters for the graph name and cypher query. As this command will be executed prior to the cypher() function transform, its values will be resolved. These values can then be cached for the immediately following cypher() function transform to use. As added features, the cached values will store the calling session's pid, for validation. And, the cypher() function transform will clear this cached information after function invocation, regardless of whether it was used. This method will allow the parameterizing of the cypher() function indirectly and provide a way to lock out SQL injection attacks. | |||||
| CVE-2022-45143 | 1 Apache | 1 Tomcat | 2023-12-10 | N/A | 7.5 HIGH |
| The JsonErrorReportValve in Apache Tomcat 8.5.83, 9.0.40 to 9.0.68 and 10.1.0-M1 to 10.1.1 did not escape the type, message or description values. In some circumstances these are constructed from user provided data and it was therefore possible for users to supply values that invalidated or manipulated the JSON output. | |||||
| CVE-2023-22602 | 2 Apache, Vmware | 2 Shiro, Spring Boot | 2023-12-10 | N/A | 7.5 HIGH |
| When using Apache Shiro before 1.11.0 together with Spring Boot 2.6+, a specially crafted HTTP request may cause an authentication bypass. The authentication bypass occurs when Shiro and Spring Boot are using different pattern-matching techniques. Both Shiro and Spring Boot < 2.6 default to Ant style pattern matching. Mitigation: Update to Apache Shiro 1.11.0, or set the following Spring Boot configuration value: `spring.mvc.pathmatch.matching-strategy = ant_path_matcher` | |||||
| CVE-2023-25194 | 1 Apache | 1 Kafka Connect | 2023-12-10 | N/A | 8.8 HIGH |
| A possible security vulnerability has been identified in Apache Kafka Connect API. This requires access to a Kafka Connect worker, and the ability to create/modify connectors on it with an arbitrary Kafka client SASL JAAS config and a SASL-based security protocol, which has been possible on Kafka Connect clusters since Apache Kafka Connect 2.3.0. When configuring the connector via the Kafka Connect REST API, an authenticated operator can set the `sasl.jaas.config` property for any of the connector's Kafka clients to "com.sun.security.auth.module.JndiLoginModule", which can be done via the `producer.override.sasl.jaas.config`, `consumer.override.sasl.jaas.config`, or `admin.override.sasl.jaas.config` properties. This will allow the server to connect to the attacker's LDAP server and deserialize the LDAP response, which the attacker can use to execute java deserialization gadget chains on the Kafka connect server. Attacker can cause unrestricted deserialization of untrusted data (or) RCE vulnerability when there are gadgets in the classpath. Since Apache Kafka 3.0.0, users are allowed to specify these properties in connector configurations for Kafka Connect clusters running with out-of-the-box configurations. Before Apache Kafka 3.0.0, users may not specify these properties unless the Kafka Connect cluster has been reconfigured with a connector client override policy that permits them. Since Apache Kafka 3.4.0, we have added a system property ("-Dorg.apache.kafka.disallowed.login.modules") to disable the problematic login modules usage in SASL JAAS configuration. Also by default "com.sun.security.auth.module.JndiLoginModule" is disabled in Apache Kafka Connect 3.4.0. We advise the Kafka Connect users to validate connector configurations and only allow trusted JNDI configurations. Also examine connector dependencies for vulnerable versions and either upgrade their connectors, upgrading that specific dependency, or removing the connectors as options for remediation. Finally, in addition to leveraging the "org.apache.kafka.disallowed.login.modules" system property, Kafka Connect users can also implement their own connector client config override policy, which can be used to control which Kafka client properties can be overridden directly in a connector config and which cannot. | |||||
| CVE-2023-24829 | 1 Apache | 1 Iotdb | 2023-12-10 | N/A | 8.8 HIGH |
| Incorrect Authorization vulnerability in Apache Software Foundation Apache IoTDB.This issue affects the iotdb-web-workbench component from 0.13.0 before 0.13.3. iotdb-web-workbench is an optional component of IoTDB, providing a web console of the database. This problem is fixed from version 0.13.3 of iotdb-web-workbench onwards. | |||||
| CVE-2022-34271 | 1 Apache | 1 Atlas | 2023-12-10 | N/A | 8.8 HIGH |
| A vulnerability in import module of Apache Atlas allows an authenticated user to write to web server filesystem. This issue affects Apache Atlas versions from 0.8.4 to 2.2.0. | |||||
| CVE-2022-26885 | 1 Apache | 1 Dolphinscheduler | 2023-12-10 | N/A | 7.5 HIGH |
| When using tasks to read config files, there is a risk of database password disclosure. We recommend you upgrade to version 2.0.6 or higher. | |||||
| CVE-2006-20001 | 1 Apache | 1 Http Server | 2023-12-10 | N/A | 7.5 HIGH |
| A carefully crafted If: request header can cause a memory read, or write of a single zero byte, in a pool (heap) memory location beyond the header value sent. This could cause the process to crash. This issue affects Apache HTTP Server 2.4.54 and earlier. | |||||
| CVE-2023-26464 | 1 Apache | 1 Log4j | 2023-12-10 | N/A | 7.5 HIGH |
| ** UNSUPPORTED WHEN ASSIGNED ** When using the Chainsaw or SocketAppender components with Log4j 1.x on JRE less than 1.7, an attacker that manages to cause a logging entry involving a specially-crafted (ie, deeply nested) hashmap or hashtable (depending on which logging component is in use) to be processed could exhaust the available memory in the virtual machine and achieve Denial of Service when the object is deserialized. This issue affects Apache Log4j before 2. Affected users are recommended to update to Log4j 2.x. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. | |||||
| CVE-2022-42735 | 1 Apache | 1 Shenyu | 2023-12-10 | N/A | 8.8 HIGH |
| Improper Privilege Management vulnerability in Apache Software Foundation Apache ShenYu. ShenYu Admin allows low-privilege low-level administrators create users with higher privileges than their own. This issue affects Apache ShenYu: 2.5.0. Upgrade to Apache ShenYu 2.5.1 or apply patch https://github.com/apache/shenyu/pull/3958 https://github.com/apache/shenyu/pull/3958 . | |||||
| CVE-2022-32749 | 1 Apache | 1 Traffic Server | 2023-12-10 | N/A | 7.5 HIGH |
| Improper Check for Unusual or Exceptional Conditions vulnerability handling requests in Apache Traffic Server allows an attacker to crash the server under certain conditions. This issue affects Apache Traffic Server: from 8.0.0 through 9.1.3. | |||||
| CVE-2022-44635 | 1 Apache | 1 Fineract | 2023-12-10 | N/A | 8.8 HIGH |
| Apache Fineract allowed an authenticated user to perform remote code execution due to a path traversal vulnerability in a file upload component of Apache Fineract, allowing an attacker to run remote code. This issue affects Apache Fineract version 1.8.0 and prior versions. We recommend users to upgrade to 1.8.1. | |||||
| CVE-2023-25141 | 1 Apache | 1 Sling Jcr Base | 2023-12-10 | N/A | 7.5 HIGH |
| Apache Sling JCR Base < 3.1.12 has a critical injection vulnerability when running on old JDK versions (JDK 1.8.191 or earlier) through utility functions in RepositoryAccessor. The functions getRepository and getRepositoryFromURL allow an application to access data stored in a remote location via JDNI and RMI. Users of Apache Sling JCR Base are recommended to upgrade to Apache Sling JCR Base 3.1.12 or later, or to run on a more recent JDK. | |||||