A vulnerability, which was classified as critical, has been found in Xiamen Four-Faith Video Surveillance Management System 2016/2017. Affected by this issue is some unknown functionality of the component Apache Struts. The manipulation leads to unrestricted upload. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. VDB-246134 is the identifier assigned to this vulnerability. NOTE: The vendor was contacted early about this disclosure but did not respond in any way.

Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache DolphinScheduler. The information exposed to unauthorized actors may include sensitive data such as database credentials. Users who can't upgrade to the fixed version can also set environment variable `MANAGEMENT_ENDPOINTS_WEB_EXPOSURE_INCLUDE=health,metrics,prometheus` to workaround this, or add the following section in the `application.yaml` file ``` management:   endpoints:     web:       exposure:         include: health,metrics,prometheus ``` This issue affects Apache DolphinScheduler: from 3.0.0 before 3.0.2. Users are recommended to upgrade to version 3.0.2, which fixes the issue.

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.

Apache Software Foundation Apache Submarine has an SQL injection vulnerability when a user logs in. This issue can result in unauthorized login. Now we have fixed this issue and now user must have the correct login to access workbench. This issue affects Apache Submarine: from 0.7.0 before 0.8.0. We recommend that all submarine users with 0.7.0 upgrade to 0.8.0, which not only fixes the issue, supports the oidc authentication mode, but also removes the case of unauthenticated logins. If using the version lower than 0.8.0 and not want to upgrade, you can try cherry-pick PR https://github.com/apache/submarine/pull/1037 https://github.com/apache/submarine/pull/1054 and rebuild the submarine-server image to fix this.

Apache Software Foundation Apache Submarine has a bug when serializing against yaml. The bug is caused by snakeyaml https://nvd.nist.gov/vuln/detail/CVE-2022-1471 . Apache Submarine uses JAXRS to define REST endpoints. In order to handle YAML requests (using application/yaml content-type), it defines a YamlEntityProvider entity provider that will process all incoming YAML requests. In order to unmarshal the request, the readFrom method is invoked, passing the entityStream containing the user-supplied data in `submarine-server/server-core/src/main/java/org/apache/submarine/server/utils/YamlUtils.java`. We have now fixed this issue in the new version by replacing to `jackson-dataformat-yaml`. This issue affects Apache Submarine: from 0.7.0 before 0.8.0. Users are recommended to upgrade to version 0.8.0, which fixes this issue. If using the version smaller than 0.8.0 and not want to upgrade, you can try cherry-pick PR https://github.com/apache/submarine/pull/1054 and rebuild the submart-server image to fix this.

Relative library resolution in linux container-executor binary in Apache Hadoop 3.3.1-3.3.4 on Linux allows local user to gain root privileges. If the YARN cluster is accepting work from remote (authenticated) users, this MAY permit remote users to gain root privileges. Hadoop 3.3.0 updated the " YARN Secure Containers https://hadoop.apache.org/docs/stable/hadoop-yarn/hadoop-yarn-site/SecureContainer.html " to add a feature for executing user-submitted applications in isolated linux containers. The native binary HADOOP_HOME/bin/container-executor is used to launch these containers; it must be owned by root and have the suid bit set in order for the YARN processes to run the containers as the specific users submitting the jobs. The patch " YARN-10495 https://issues.apache.org/jira/browse/YARN-10495 . make the rpath of container-executor configurable" modified the library loading path for loading .so files from "$ORIGIN/" to ""$ORIGIN/:../lib/native/". This is the a path through which libcrypto.so is located. Thus it is is possible for a user with reduced privileges to install a malicious libcrypto library into a path to which they have write access, invoke the container-executor command, and have their modified library executed as root. If the YARN cluster is accepting work from remote (authenticated) users, and these users' submitted job are executed in the physical host, rather than a container, then the CVE permits remote users to gain root privileges. The fix for the vulnerability is to revert the change, which is done in YARN-11441 https://issues.apache.org/jira/browse/YARN-11441 , "Revert YARN-10495". This patch is in hadoop-3.3.5. To determine whether a version of container-executor is vulnerable, use the readelf command. If the RUNPATH or RPATH value contains the relative path "./lib/native/" then it is at risk $ readelf -d container-executor|grep 'RUNPATH\|RPATH' 0x000000000000001d (RUNPATH)           Library runpath: [$ORIGIN/:../lib/native/] If it does not, then it is safe: $ readelf -d container-executor|grep 'RUNPATH\|RPATH' 0x000000000000001d (RUNPATH)           Library runpath: [$ORIGIN/] For an at-risk version of container-executor to enable privilege escalation, the owner must be root and the suid bit must be set $ ls -laF /opt/hadoop/bin/container-executor ---Sr-s---. 1 root hadoop 802968 May 9 20:21 /opt/hadoop/bin/container-executor A safe installation lacks the suid bit; ideally is also not owned by root. $ ls -laF /opt/hadoop/bin/container-executor -rwxr-xr-x. 1 yarn hadoop 802968 May 9 20:21 /opt/hadoop/bin/container-executor This configuration does not support Yarn Secure Containers, but all other hadoop services, including YARN job execution outside secure containers continue to work.

We failed to apply CVE-2023-40611 in 2.7.1 and this vulnerability was marked as fixed then.  Apache Airflow, versions before 2.7.3, is affected by a vulnerability that allows authenticated and DAG-view authorized Users to modify some DAG run detail values when submitting notes. This could have them alter details such as configuration parameters, start date, etc.  Users should upgrade to version 2.7.3 or later which has removed the vulnerability.

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.

Deserialization of untrusted data in IPC and Parquet readers in PyArrow versions 0.14.0 to 14.0.0 allows arbitrary code execution. An application is vulnerable if it reads Arrow IPC, Feather or Parquet data from untrusted sources (for example user-supplied input files). This vulnerability only affects PyArrow, not other Apache Arrow implementations or bindings. It is recommended that users of PyArrow upgrade to 14.0.1. Similarly, it is recommended that downstream libraries upgrade their dependency requirements to PyArrow 14.0.1 or later. PyPI packages are already available, and we hope that conda-forge packages will be available soon. If it is not possible to upgrade, we provide a separate package `pyarrow-hotfix` that disables the vulnerability on older PyArrow versions. See https://pypi.org/project/pyarrow-hotfix/ for instructions.

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.

Missing Authentication in Apache Software Foundation Apache OFBiz when using the Solr plugin. This issue affects Apache OFBiz: before 18.12.09.  Users are recommended to upgrade to version 18.12.09

Allura Discussion and Allura Forum importing does not restrict URL values specified in attachments. Project administrators can run these imports, which could cause Allura to read local files and expose them.  Exposing internal files then can lead to other exploits, like session hijacking, or remote code execution. This issue affects Apache Allura from 1.0.1 through 1.15.0. Users are recommended to upgrade to version 1.16.0, which fixes the issue.  If you are unable to upgrade, set "disable_entry_points.allura.importers = forge-tracker, forge-discussion" in your .ini config file.

Insecure temporary file creation in bitrix/modules/crm/lib/order/import/instagram.php in Bitrix24 22.0.300 hosted on Apache HTTP Server allows remote authenticated attackers to execute arbitrary code via uploading a crafted ".htaccess" file.

FOG is a free open-source cloning/imaging/rescue suite/inventory management system. Prior to version 1.5.10, an endpoint intended to offer limited enumeration abilities to authenticated users was accessible to unauthenticated users. This enabled unauthenticated users to discover files and their respective paths that were visible to the Apache user group. Version 1.5.10 contains a patch for this issue.

FOG is a free open-source cloning/imaging/rescue suite/inventory management system. Prior to version 1.5.10, a server-side-request-forgery (SSRF) vulnerability allowed an unauthenticated user to trigger a GET request as the server to an arbitrary endpoint and URL scheme. This also allows remote access to files visible to the Apache user group. Other impacts vary based on server configuration. Version 1.5.10 contains a patch.

Insertion of Sensitive Information into Log File vulnerability in Apache Airflow Celery provider, Apache Airflow. Sensitive information logged as clear text when rediss, amqp, rpc protocols are used as Celery result backend Note: the vulnerability is about the information exposed in the logs not about accessing the logs. This issue affects Apache Airflow Celery provider: from 3.3.0 through 3.4.0; Apache Airflow: from 1.10.0 through 2.6.3. Users are recommended to upgrade Airflow Celery provider to version 3.4.1 and Apache Airlfow to version 2.7.0 which fixes the issue.

Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache Airflow.This issue affects Apache Airflow from 2.4.0 to 2.7.0. Sensitive configuration information has been exposed to authenticated users with the ability to read configuration via Airflow REST API for configuration even 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 if you set expose_config to non-sensitive-only configuration. This is a different error than CVE-2023-45348 which allows authenticated user to retrieve individual configuration values in 2.7.* by specially crafting their request (solved in 2.7.2). Users are recommended to upgrade to version 2.7.2, which fixes the issue and additionally fixes CVE-2023-45348.

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.

Out-of-bounds Read vulnerability in mod_macro of Apache HTTP Server.This issue affects Apache HTTP Server: through 2.4.57.

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.