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.

Deserialization of Untrusted Data Vulnerability in Apache Software Foundation Apache InLong. This issue affects Apache InLong: from 1.4.0 through 1.8.0, the attacker can use \t to bypass. 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/8814

There exists an SSRF (Server-Side Request Forgery) vulnerability located at the /sandbox/proxyGateway endpoint. This vulnerability allows us to manipulate arbitrary requests and retrieve corresponding responses by inputting any URL into the requestUrl parameter. Of particular concern is our ability to exert control over the HTTP method, cookies, IP address, and headers. This effectively grants us the capability to dispatch complete HTTP requests to hosts of our choosing. This issue affects Apache ShenYu: 2.5.1. Upgrade to Apache ShenYu 2.6.0 or apply patch  https://github.com/apache/shenyu/pull/4776  .

Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache Traffic Server.This issue affects Apache Traffic Server: from 8.0.0 through 8.1.8, from 9.0.0 through 9.2.2. Users are recommended to upgrade to version 8.1.9 or 9.2.3, which fixes the issue.

Improper Input Validation vulnerability in Apache Traffic Server with malformed HTTP/2 frames.This issue affects Apache Traffic Server: from 9.0.0 through 9.2.2. Users are recommended to upgrade to version 9.2.3, which fixes the issue.

Security vulnerability in Apache bRPC <=1.6.0 on all platforms allows attackers to inject XSS code to the builtin rpcz page. An attacker that can send http request to bRPC server with rpcz enabled can inject arbitrary XSS code to the builtin rpcz page. Solution (choose one of three): 1. upgrade to bRPC > 1.6.0, download link: https://dist.apache.org/repos/dist/release/brpc/1.6.1/ 2. If you are using an old version of bRPC and hard to upgrade, you can apply this patch:  https://github.com/apache/brpc/pull/2411 3. disable rpcz feature

Authorization Bypass Through User-Controlled Key vulnerability in Apache InLong.This issue affects Apache InLong: from 1.4.0 through 1.8.0,  some sensitive params checks will be bypassed, like "autoDeserizalize","allowLoadLocalInfile".... .   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/8604