Vulnerabilities (CVE)

Apache Airflow, versions 2.7.0 and 2.7.1, is affected by a vulnerability that allows an authenticated user to retrieve sensitive configuration information when the "expose_config" option is set to "non-sensitive-only". The `expose_config` option is False by default. It is recommended to upgrade to a version that is not affected.

Server-Side Request Forgery (SSRF) vulnerability in Apache ServiceComb Service-Center. Attackers can obtain sensitive server information through specially crafted requests.This issue affects Apache ServiceComb before 2.1.0(include). Users are recommended to upgrade to version 2.2.0, which fixes the issue.

Exposure of Sensitive Information to an Unauthorized Actor in Apache ServiceComb Service-Center.This issue affects Apache ServiceComb Service-Center before 2.1.0 (include). Users are recommended to upgrade to version 2.2.0, which fixes the issue.

Apache Guacamole 1.5.3 and older do not consistently ensure that values received from a VNC server will not result in integer overflow. If a user connects to a malicious or compromised VNC server, specially-crafted data could result in memory corruption, possibly allowing arbitrary code to be executed with the privileges of the running guacd process. Users are recommended to upgrade to version 1.5.4, which fixes this issue.

An attacker, opening a HTTP/2 connection with an initial window size of 0, was able to block handling of that connection indefinitely in Apache HTTP Server. This could be used to exhaust worker resources in the server, similar to the well known "slow loris" attack pattern. This has been fixed in version 2.4.58, so that such connection are terminated properly after the configured connection timeout. This issue affects Apache HTTP Server: from 2.4.55 through 2.4.57. Users are recommended to upgr ... An attacker, opening a HTTP/2 connection with an initial window size of 0, was able to block handling of that connection indefinitely in Apache HTTP Server. This could be used to exhaust worker resources in the server, similar to the well known "slow loris" attack pattern. This has been fixed in version 2.4.58, so that such connection are terminated properly after the configured connection timeout. This issue affects Apache HTTP Server: from 2.4.55 through 2.4.57. Users are recommended to upgrade to version 2.4.58, which fixes the issue.

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On unix-like systems, the temporary directory is shared between all user. As such, writing to this directory using APIs that do not explicitly set the file/directory permissions can lead to information disclosure. Of note, this does not impact modern MacOS Operating Systems. The method File.createTempFile on unix-like systems creates a file with predefined name (so easily identifiable) and by default will create this file with the permissions -rw-r--r--. Thus, if sensitive information is writte ... On unix-like systems, the temporary directory is shared between all user. As such, writing to this directory using APIs that do not explicitly set the file/directory permissions can lead to information disclosure. Of note, this does not impact modern MacOS Operating Systems. The method File.createTempFile on unix-like systems creates a file with predefined name (so easily identifiable) and by default will create this file with the permissions -rw-r--r--. Thus, if sensitive information is written to this file, other local users can read this information. File.createTempFile(String, String) will create a temporary file in the system temporary directory if the 'java.io.tmpdir' system property is not explicitly set. This affects the class  https://github.com/apache/storm/blob/master/storm-core/src/jvm/org/apache/storm/utils/TopologySpoutLag.java#L99  and was introduced by  https://issues.apache.org/jira/browse/STORM-3123 In practice, this has a very limited impact as this class is used only if ui.disable.spout.lag.monitoring is set to false, but its value is true by default. Moreover, the temporary file gets deleted soon after its creation. The solution is to use  Files.createTempFile https://docs.oracle.com/en/java/javase/11/docs/api/java.base/java/nio/file/Files.html#createTempFile(java.lang.String,java.lang.String,java.nio.file.attribute.FileAttribute...)  instead. We recommend that all users upgrade to the latest version of Apache Storm.

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Apache Airflow, in versions prior to 2.7.2, contains a security vulnerability that allows an authenticated user with limited access to some DAGs, to craft a request that could give the user write access to various DAG resources for DAGs that the user had no access to, thus, enabling the user to clear DAGs they shouldn't. Users of Apache Airflow are strongly 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.

An authenticated user with read permissions on database connections metadata could potentially access sensitive information such as the connection's username. This issue affects Apache Superset before 3.0.0.

An authenticated malicious user could initiate multiple concurrent requests, each requesting multiple dashboard exports, leading to a possible denial of service. This issue affects Apache Superset: before 3.0.0

Improper Input Validation, Uncontrolled Resource Consumption vulnerability in Apache Commons Compress in TAR parsing.This issue affects Apache Commons Compress: from 1.22 before 1.24.0. Users are recommended to upgrade to version 1.24.0, which fixes the issue. A third party can create a malformed TAR file by manipulating file modification times headers, which when parsed with Apache Commons Compress, will cause a denial of service issue via CPU consumption. In version 1.22 of Apache Commons C ... Improper Input Validation, Uncontrolled Resource Consumption vulnerability in Apache Commons Compress in TAR parsing.This issue affects Apache Commons Compress: from 1.22 before 1.24.0. Users are recommended to upgrade to version 1.24.0, which fixes the issue. A third party can create a malformed TAR file by manipulating file modification times headers, which when parsed with Apache Commons Compress, will cause a denial of service issue via CPU consumption. In version 1.22 of Apache Commons Compress, support was added for file modification times with higher precision (issue # COMPRESS-612 [1]). The format for the PAX extended headers carrying this data consists of two numbers separated by a period [2], indicating seconds and subsecond precision (for example “1647221103.5998539”). The impacted fields are “atime”, “ctime”, “mtime” and “LIBARCHIVE.creationtime”. No input validation is performed prior to the parsing of header values. Parsing of these numbers uses the BigDecimal [3] class from the JDK which has a publicly known algorithmic complexity issue when doing operations on large numbers, causing denial of service (see issue # JDK-6560193 [4]). A third party can manipulate file time headers in a TAR file by placing a number with a very long fraction (300,000 digits) or a number with exponent notation (such as “9e9999999”) within a file modification time header, and the parsing of files with these headers will take hours instead of seconds, leading to a denial of service via exhaustion of CPU resources. This issue is similar to CVE-2012-2098 [5]. [1]: https://issues.apache.org/jira/browse/COMPRESS-612 [2]: https://pubs.opengroup.org/onlinepubs/9699919799/utilities/pax.html#tag_20_92_13_05 [3]: https://docs.oracle.com/javase/8/docs/api/java/math/BigDecimal.html [4]: https://bugs.openjdk.org/browse/JDK-6560193 [5]: https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2012-2098 Only applications using CompressorStreamFactory class (with auto-detection of file types), TarArchiveInputStream and TarFile classes to parse TAR files are impacted. Since this code was introduced in v1.22, only that version and later versions are impacted.

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Unnecessary read permissions within the Gamma role would allow authenticated users to read configured CSS templates and annotations. This issue affects Apache Superset: before 2.1.2. Users should upgrade to version or above 2.1.2 and run `superset init` to reconstruct the Gamma role or remove `can_read` permission from the mentioned resources.

In the Apache Airflow HDFS Provider, versions prior to 4.1.1, a documentation info pointed users to an install incorrect pip package. As this package name was unclaimed, in theory, an attacker could claim this package and provide code that would be executed when this package was installed. The Airflow team has since taken ownership of the package (neutralizing the risk), and fixed the doc strings in version 4.1.1

** UNSUPPORTED WHEN ASSIGNED ** When integrating Apache Axis 1.x in an application, it may not have been obvious that looking up a service through "ServiceFactory.getService" allows potentially dangerous lookup mechanisms such as LDAP. When passing untrusted input to this API method, this could expose the application to DoS, SSRF and even attacks leading to RCE. As Axis 1 has been EOL we recommend you migrate to a different SOAP engine, such as Apache Axis 2/Java. As a workaround, you may revie ... ** UNSUPPORTED WHEN ASSIGNED ** When integrating Apache Axis 1.x in an application, it may not have been obvious that looking up a service through "ServiceFactory.getService" allows potentially dangerous lookup mechanisms such as LDAP. When passing untrusted input to this API method, this could expose the application to DoS, SSRF and even attacks leading to RCE. As Axis 1 has been EOL we recommend you migrate to a different SOAP engine, such as Apache Axis 2/Java. As a workaround, you may review your code to verify no untrusted or unsanitized input is passed to "ServiceFactory.getService", or by applying the patch from https://github.com/apache/axis-axis1-java/commit/7e66753427466590d6def0125e448d2791723210 . The Apache Axis project does not expect to create an Axis 1.x release fixing this problem, though contributors that would like to work towards this are welcome.

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Improper authorization check and possible privilege escalation on Apache Superset up to but excluding 2.1.2. Using the default examples database connection that allows access to both the examples schema and Apache Superset's metadata database, an attacker using a specially crafted CTE SQL statement could change data on the metadata database. This weakness could result on tampering with the authentication/authorization data.

Apache Airflow Spark Provider, versions before 4.1.3, is affected by a vulnerability that allows an attacker to pass in malicious parameters when establishing a connection giving an opportunity to read files on the Airflow server. It is recommended to upgrade to a version that is not affected.

Apache NiFi 1.21.0 through 1.23.0 support JDBC and JNDI JMS access in several Processors and Controller Services with connection URL validation that does not provide sufficient protection against crafted inputs. An authenticated and authorized user can bypass connection URL validation using custom input formatting. The resolution enhances connection URL validation and introduces validation for additional related properties. Upgrading to Apache NiFi 1.23.1 is the recommended mitigation.

Deserialization of Untrusted Data, Improper Input Validation vulnerability in Apache UIMA Java SDK, Apache UIMA Java SDK, Apache UIMA Java SDK, Apache UIMA Java SDK.This issue affects Apache UIMA Java SDK: before 3.5.0. Users are recommended to upgrade to version 3.5.0, which fixes the issue. There are several locations in the code where serialized Java objects are deserialized without verifying the data. This affects in particular: * the deserialization of a Java-serialized CAS, but also o ... Deserialization of Untrusted Data, Improper Input Validation vulnerability in Apache UIMA Java SDK, Apache UIMA Java SDK, Apache UIMA Java SDK, Apache UIMA Java SDK.This issue affects Apache UIMA Java SDK: before 3.5.0. Users are recommended to upgrade to version 3.5.0, which fixes the issue. There are several locations in the code where serialized Java objects are deserialized without verifying the data. This affects in particular: * the deserialization of a Java-serialized CAS, but also other binary CAS formats that include TSI information using the CasIOUtils class; * the CAS Editor Eclipse plugin which uses the the CasIOUtils class to load data; * the deserialization of a Java-serialized CAS of the Vinci Analysis Engine service which can receive using Java-serialized CAS objects over network connections; * the CasAnnotationViewerApplet and the CasTreeViewerApplet; * the checkpointing feature of the CPE module. Note that the UIMA framework by default does not start any remotely accessible services (i.e. Vinci) that would be vulnerable to this issue. A user or developer would need to make an active choice to start such a service. However, users or developers may use the CasIOUtils in their own applications and services to parse serialized CAS data. They are affected by this issue unless they ensure that the data passed to CasIOUtils is not a serialized Java object. When using Vinci or using CasIOUtils in own services/applications, the unrestricted deserialization of Java-serialized CAS files may allow arbitrary (remote) code execution. As a remedy, it is possible to set up a global or context-specific ObjectInputFilter (cf. https://openjdk.org/jeps/290  and  https://openjdk.org/jeps/415 ) if running UIMA on a Java version that supports it. Note that Java 1.8 does not support the ObjectInputFilter, so there is no remedy when running on this out-of-support platform. An upgrade to a recent Java version is strongly recommended if you need to secure an UIMA version that is affected by this issue. To mitigate the issue on a Java 9+ platform, you can configure a filter pattern through the "jdk.serialFilter" system property using a semicolon as a separator: To allow deserializing Java-serialized binary CASes, add the classes: * org.apache.uima.cas.impl.CASCompleteSerializer * org.apache.uima.cas.impl.CASMgrSerializer * org.apache.uima.cas.impl.CASSerializer * java.lang.String To allow deserializing CPE Checkpoint data, add the following classes (and any custom classes your application uses to store its checkpoints): * org.apache.uima.collection.impl.cpm.CheckpointData * org.apache.uima.util.ProcessTrace * org.apache.uima.util.impl.ProcessTrace_impl * org.apache.uima.collection.base_cpm.SynchPoint Make sure to use "!*" as the final component to the filter pattern to disallow deserialization of any classes not listed in the pattern. Apache UIMA 3.5.0 uses tightly scoped ObjectInputFilters when reading Java-serialized data depending on the type of data being expected. Configuring a global filter is not necessary with this version.

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Improper Input Validation vulnerability in Apache Software Foundation Apache Airflow Drill Provider. Apache Airflow Drill Provider is affected by a vulnerability that allows an attacker to pass in malicious parameters when establishing a connection with DrillHook giving an opportunity to read files on the Airflow server. This issue affects Apache Airflow Drill Provider: before 2.4.3. It is recommended to upgrade to a version that is not affected.

Execution with Unnecessary Privileges, : Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache Software Foundation Apache Airflow.The "Run Task" feature enables authenticated user to bypass some of the restrictions put in place. It allows to execute code in the webserver context as well as allows to bypas limitation of access the user has to certain DAGs. The "Run Task" feature is considered dangerous and it has been removed entirely in Airflow 2.6.0 This issue affe ... Execution with Unnecessary Privileges, : Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache Software Foundation Apache Airflow.The "Run Task" feature enables authenticated user to bypass some of the restrictions put in place. It allows to execute code in the webserver context as well as allows to bypas limitation of access the user has to certain DAGs. The "Run Task" feature is considered dangerous and it has been removed entirely in Airflow 2.6.0 This issue affects Apache Airflow: before 2.6.0.

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When deserializing untrusted or corrupted data, it is possible for a reader to consume memory beyond the allowed constraints and thus lead to out of memory on the system. This issue affects Java applications using Apache Avro Java SDK up to and including 1.11.2. Users should update to apache-avro version 1.11.3 which addresses this issue.

Improper Authentication vulnerability in Apache Ozone. The vulnerability allows an attacker to download metadata internal to the Storage Container Manager service without proper authentication. The attacker is not allowed to do any modification within the Ozone Storage Container Manager service using this vulnerability. The accessible metadata does not contain sensitive information that can be used to exploit the system later on, and the accessible data does not make it possible to gain access ... Improper Authentication vulnerability in Apache Ozone. The vulnerability allows an attacker to download metadata internal to the Storage Container Manager service without proper authentication. The attacker is not allowed to do any modification within the Ozone Storage Container Manager service using this vulnerability. The accessible metadata does not contain sensitive information that can be used to exploit the system later on, and the accessible data does not make it possible to gain access to actual user data within Ozone. This issue affects Apache Ozone: 1.2.0 and subsequent releases up until 1.3.0. Users are recommended to upgrade to version 1.4.0, which fixes the issue.

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An improper neutralization of input during web page generation ('Cross-site Scripting') [CWE-79] vulnerability in Apache Felix Healthcheck Webconsole Plugin version 2.0.2 and prior may allow an attacker to perform a reflected cross-site scripting (XSS) attack. Upgrade to Apache Felix Healthcheck Webconsole Plugin 2.1.0 or higher.

If an attacker gains write access to the Apache Superset metadata database, they could persist a specifically crafted Python object that may lead to remote code execution on Superset's web backend. The Superset metadata db is an 'internal' component that is typically only accessible directly by the system administrator and the superset process itself. Gaining access to that database should be difficult and require significant privileges. This vulnerability impacts Apache Superset versions 1 ... If an attacker gains write access to the Apache Superset metadata database, they could persist a specifically crafted Python object that may lead to remote code execution on Superset's web backend. The Superset metadata db is an 'internal' component that is typically only accessible directly by the system administrator and the superset process itself. Gaining access to that database should be difficult and require significant privileges. This vulnerability impacts Apache Superset versions 1.5.0 up to and including 2.1.0. Users are recommended to upgrade to version 2.1.1 or later.

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Java object deserialization issue in Jackrabbit webapp/standalone on all platforms allows attacker to remotely execute code via RMIVersions up to (including) 2.20.10 (stable branch) and 2.21.17 (unstable branch) use the component "commons-beanutils", which contains a class that can be used for remote code execution over RMI. Users are advised to immediately update to versions 2.20.11 or 2.21.18. Note that earlier stable branches (1.0.x .. 2.18.x) have been EOLd already and do not receive update ... Java object deserialization issue in Jackrabbit webapp/standalone on all platforms allows attacker to remotely execute code via RMIVersions up to (including) 2.20.10 (stable branch) and 2.21.17 (unstable branch) use the component "commons-beanutils", which contains a class that can be used for remote code execution over RMI. Users are advised to immediately update to versions 2.20.11 or 2.21.18. Note that earlier stable branches (1.0.x .. 2.18.x) have been EOLd already and do not receive updates anymore. In general, RMI support can expose vulnerabilities by the mere presence of an exploitable class on the classpath. Even if Jackrabbit itself does not contain any code known to be exploitable anymore, adding other components to your server can expose the same type of problem. We therefore recommend to disable RMI access altogether (see further below), and will discuss deprecating RMI support in future Jackrabbit releases. How to check whether RMI support is enabledRMI support can be over an RMI-specific TCP port, and over an HTTP binding. Both are by default enabled in Jackrabbit webapp/standalone. The native RMI protocol by default uses port 1099. To check whether it is enabled, tools like "netstat" can be used to check. RMI-over-HTTP in Jackrabbit by default uses the path "/rmi". So when running standalone on port 8080, check whether an HTTP GET request on localhost:8080/rmi returns 404 (not enabled) or 200 (enabled). Note that the HTTP path may be different when the webapp is deployed in a container as non-root context, in which case the prefix is under the user's control. Turning off RMIFind web.xml (either in JAR/WAR file or in unpacked web application folder), and remove the declaration and the mapping definition for the RemoteBindingServlet:         <servlet>             <servlet-name>RMI</servlet-name>             <servlet-class>org.apache.jackrabbit.servlet.remote.RemoteBindingServlet</servlet-class>         </servlet>         <servlet-mapping>             <servlet-name>RMI</servlet-name>             <url-pattern>/rmi</url-pattern>         </servlet-mapping> Find the bootstrap.properties file (in $REPOSITORY_HOME), and set         rmi.enabled=false     and also remove         rmi.host         rmi.port         rmi.url-pattern  If there is no file named bootstrap.properties in $REPOSITORY_HOME, it is located somewhere in the classpath. In this case, place a copy in $REPOSITORY_HOME and modify it as explained.

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Improper Input Validation vulnerability in Apache Software Foundation Apache Airflow Apache Hive Provider. Patching on top of CVE-2023-35797 Before 6.1.2 the proxy_user option can also inject semicolon. This issue affects Apache Airflow Apache Hive Provider: before 6.1.2. It is recommended updating provider version to 6.1.2 in order to avoid this vulnerability.

Apache Airflow, in versions prior to 2.7.0, contains a security vulnerability that can be exploited by an authenticated user possessing Connection edit privileges. This vulnerability allows the user to access connection information and exploit the test connection feature by sending many requests, leading to a denial of service (DoS) condition on the server. Furthermore, malicious actors can leverage this vulnerability to establish harmful connections with the server. Users of Apache Airflow are ... Apache Airflow, in versions prior to 2.7.0, contains a security vulnerability that can be exploited by an authenticated user possessing Connection edit privileges. This vulnerability allows the user to access connection information and exploit the test connection feature by sending many requests, leading to a denial of service (DoS) condition on the server. Furthermore, malicious actors can leverage this vulnerability to establish harmful connections with the server. Users of Apache Airflow are strongly advised to upgrade to version 2.7.0 or newer to mitigate the risk associated with this vulnerability. Additionally, administrators are encouraged to review and adjust user permissions to restrict access to sensitive functionalities, reducing the attack surface.

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Apache NiFi 0.0.2 through 1.22.0 include Processors and Controller Services that support HTTP URL references for retrieving drivers, which allows an authenticated and authorized user to configure a location that enables custom code execution. The resolution introduces a new Required Permission for referencing remote resources, restricting configuration of these components to privileged users. The permission prevents unprivileged users from configuring Processors and Controller Services annotated ... Apache NiFi 0.0.2 through 1.22.0 include Processors and Controller Services that support HTTP URL references for retrieving drivers, which allows an authenticated and authorized user to configure a location that enables custom code execution. The resolution introduces a new Required Permission for referencing remote resources, restricting configuration of these components to privileged users. The permission prevents unprivileged users from configuring Processors and Controller Services annotated with the new Reference Remote Resources restriction. Upgrading to Apache NiFi 1.23.0 is the recommended mitigation.

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Improper Input Validation vulnerability in Apache Software Foundation Apache Airflow Hive Provider. This issue affects Apache Airflow Apache Hive Provider: before 6.1.1. Before version 6.1.1 it was possible to bypass the security check to RCE via principal parameter. For this to be exploited it requires access to modifying the connection details. It is recommended updating provider version to 6.1.1 in order to avoid this vulnerability.

Improper Neutralization of Special Elements Used in an SQL Command ('SQL Injection') vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.4.0 through 1.7.0.  In the toAuditCkSql method, the groupId, streamId, auditId, and dt are directly concatenated into the SQL query statement, which may lead to SQL injection attacks. Users are advised to upgrade to Apache InLong's 1.8.0 or cherry-pick [1] to solve it. [1] https://github.com/apache/inlong/pull/81 ... Improper Neutralization of Special Elements Used in an SQL Command ('SQL Injection') vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.4.0 through 1.7.0.  In the toAuditCkSql method, the groupId, streamId, auditId, and dt are directly concatenated into the SQL query statement, which may lead to SQL injection attacks. Users are advised to upgrade to Apache InLong's 1.8.0 or cherry-pick [1] to solve it. [1] https://github.com/apache/inlong/pull/8198

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Apache Shiro, before 1.12.0 or 2.0.0-alpha-3, may be susceptible to a path traversal attack that results in an authentication bypass when used together with APIs or other web frameworks that route requests based on non-normalized requests. Mitigation: Update to Apache Shiro 1.12.0+ or 2.0.0-alpha-3+

The DBCPConnectionPool and HikariCPConnectionPool Controller Services in Apache NiFi 0.0.2 through 1.21.0 allow an authenticated and authorized user to configure a Database URL with the H2 driver that enables custom code execution. The resolution validates the Database URL and rejects H2 JDBC locations. You are recommended to upgrade to version 1.22.0 or later which fixes this issue.

Deserialization of Untrusted Data Vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.4.0 through 1.7.0.  The attacker could bypass the current logic and achieve arbitrary file reading. To solve it, users are advised to upgrade to Apache InLong's 1.8.0 or cherry-pick https://github.com/apache/inlong/pull/8130 .

Allocation of Resources Without Limits or Throttling vulnerability in Apache Software Foundation Apache Struts.This issue affects Apache Struts: through 2.5.30, through 6.1.2. Upgrade to Struts 2.5.31 or 6.1.2.1 or greater

The JndiJmsConnectionFactoryProvider Controller Service, along with the ConsumeJMS and PublishJMS Processors, in Apache NiFi 1.8.0 through 1.21.0 allow an authenticated and authorized user to configure URL and library properties that enable deserialization of untrusted data from a remote location. The resolution validates the JNDI URL and restricts locations to a set of allowed schemes. You are recommended to upgrade to version 1.22.0 or later which fixes this issue.

Exposure of Resource to Wrong Sphere Vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.4.0 through 1.7.0. The attacker could use general users to delete and update the process, which only the admin can operate occurrences.  Users are advised to upgrade to Apache InLong's 1.8.0 or cherry-pick https://github.com/apache/inlong/pull/8109  to solve it.

Allocation of Resources Without Limits or Throttling vulnerability in Apache Software Foundation Apache Struts.This issue affects Apache Struts: through 2.5.30, through 6.1.2. Upgrade to Struts 2.5.31 or 6.1.2.1 or greater.

Improper Input Validation vulnerability in Apache Software Foundation Apache Traffic Server.This issue affects Apache Traffic Server: through 9.2.1.

Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache Software Foundation Apache Traffic Server.This issue affects Apache Traffic Server: from 8.0.0 through 9.2.0. 8.x users should upgrade to 8.1.7 or later versions 9.x users should upgrade to 9.2.1 or later versions

** UNSUPPORTED WHEN ASSIGNED ** The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to perform impersonation by providing an arbitrary user name. A malicious user might then be able to reach a permission check function that will ultimately build a Unix shel ... ** UNSUPPORTED WHEN ASSIGNED ** The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to perform impersonation by providing an arbitrary user name. A malicious user might then be able to reach a permission check function that will ultimately build a Unix shell command based on their input, and execute it. This will result in arbitrary shell command execution as the user Spark is currently running as. This issue was disclosed earlier as CVE-2022-33891, but incorrectly claimed version 3.1.3 (which has since gone EOL) would not be affected. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. Users are recommended to upgrade to a supported version of Apache Spark, such as version 3.4.0.

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