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Within tcpreplay's tcprewrite, a double free vulnerability has been identified in the tcpedit_dlt_cleanup() function within plugins/dlt_plugins.c. This vulnerability can be exploited by supplying a specifically crafted file to the tcprewrite binary. This flaw enables a local attacker to initiate a Denial of Service (DoS) attack.

Improper Preservation of Permissions vulnerability in Apache Airflow.This issue affects Apache Airflow from 2.8.2 through 2.8.3. Airflow's local file task handler in Airflow incorrectly set permissions for all parent folders of log folder, in default configuration adding write access to Unix group of the folders. In the case Airflow is run with the root user (not recommended) it added group write permission to all folders up to the root of the filesystem. If your log files are stored in the home directory, these permission changes might impact your ability to run SSH operations after your home directory becomes group-writeable. This issue does not affect users who use or extend Airflow using Official Airflow Docker reference images ( https://hub.docker.com/r/apache/airflow/ ) - those images require to have group write permission set anyway. You are affected only if you install Airflow using local installation / virtualenv or other Docker images, but the issue has no impact if docker containers are used as intended, i.e. where Airflow components do not share containers with other applications and users. Also you should not be affected if your umask is 002 (group write enabled) - this is the default on many linux systems. Recommendation for users using Airflow outside of the containers: * if you are using root to run Airflow, change your Airflow user to use non-root * upgrade Apache Airflow to 2.8.4 or above * If you prefer not to upgrade, you can change the https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#file-task-handler-new-folder-permissions  to 0o755 (original value 0o775). * if you already ran Airflow tasks before and your default umask is 022 (group write disabled) you should stop Airflow components, check permissions of AIRFLOW_HOME/logs in all your components and all parent directories of this directory and remove group write access for all the parent directories

Apache Airflow, versions 2.6.0 through 2.7.3 has a stored XSS vulnerability that allows a DAG author to add an unbounded and not-sanitized javascript in the parameter description field of the DAG. This Javascript can be executed on the client side of any of the user who looks at the tasks in the browser sandbox. While this issue does not allow to exit the browser sandbox or manipulation of the server-side data - more than the DAG author already has, it allows to modify what the user looking at the DAG details sees in the browser - which opens up all kinds of possibilities of misleading other users. Users of Apache Airflow are recommended to upgrade to version 2.8.0 or newer to mitigate the risk associated with this vulnerability

A flaw was found in the QEMU built-in VNC server. When a client connects to the VNC server, QEMU checks whether the current number of connections crosses a certain threshold and if so, cleans up the previous connection. If the previous connection happens to be in the handshake phase and fails, QEMU cleans up the connection again, resulting in a NULL pointer dereference issue. This could allow a remote unauthenticated client to cause a denial of service.

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.

Apache Airflow, versions 2.8.0 through 2.8.2, has a vulnerability that allows an authenticated user with limited permissions to access resources such as variables, connections, etc from the UI which they do not have permission to access.  Users of Apache Airflow are recommended to upgrade to version 2.8.3 or newer to mitigate the risk associated with this vulnerability

Versions of the package onnx before and including 1.15.0 are vulnerable to Out-of-bounds Read as the ONNX_ASSERT and ONNX_ASSERTM functions have an off by one string copy.

When incoming DNS over HTTPS support is enabled using the nghttp2 provider, and queries are routed to a tcp-only or DNS over TLS backend, an attacker can trigger an assertion failure in DNSdist by sending a request for a zone transfer (AXFR or IXFR) over DNS over HTTPS, causing the process to stop and thus leading to a Denial of Service. DNS over HTTPS is not enabled by default, and backends are using plain DNS (Do53) by default.

Apache Airflow, versions before 2.8.1, have a vulnerability that allows a potential attacker to poison the XCom data by bypassing the protection of "enable_xcom_pickling=False" configuration setting resulting in poisoned data after XCom deserialization. This vulnerability is considered low since it requires a DAG author to exploit it. Users are recommended to upgrade to version 2.8.1 or later, which fixes this issue.

strongSwan versions 5.9.2 through 5.9.5 are affected by authorization bypass through improper validation of certificate with host mismatch (CWE-297). When certificates are used to authenticate clients in TLS-based EAP methods, the IKE or EAP identity supplied by a client is not enforced to be contained in the client's certificate. So clients can authenticate with any trusted certificate and claim an arbitrary IKE/EAP identity as their own. This is problematic if the identity is used to make policy decisions. A fix was released in strongSwan version 5.9.6 in August 2022 (e4b4aabc4996fc61c37deab7858d07bc4d220136).