The Flower Delivery by Florist One plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the plugin's 'flower-delivery' shortcode in all versions up to, and including, 3.9 due to insufficient input sanitization and output escaping on user supplied attributes. This makes it possible for authenticated attackers, with contributor-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page.

Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. When using `--auth-mode=client`, Archived Workflows can be retrieved with a fake or spoofed token via the GET Workflow endpoint: `/api/v1/workflows/{namespace}/{name}` or when using `--auth-mode=sso`, all Archived Workflows can be retrieved with a valid token via the GET Workflow endpoint: `/api/v1/workflows/{namespace}/{name}`. No authentication is performed by the Server itself on `client` tokens. Authentication & authorization is instead delegated to the k8s API server. However, the Workflow Archive does not interact with k8s, and so any token that looks valid will be considered authenticated, even if it is not a k8s token or even if the token has no RBAC for Argo. To handle the lack of pass-through k8s authN/authZ, the Workflow Archive specifically does the equivalent of a `kubectl auth can-i` check for respective methods. In 3.5.7 and 3.5.8, the auth check was accident…

Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf. This behavior can be exploited by a local attacker to gain elevated permissions by using a ToCToU attack. The issue is only relevant when the spark_udf() MLflow API is called.

There exists a stored XSS Vulnerability in Kubeflow Pipeline View web UI. The Kubeflow Web UI allows to create new pipelines. When creating a new pipeline, it is possible to add a description. The description field allows html tags, which are not filtered properly. Leading to a stored XSS. We recommend upgrading past commit 930c35f1c543998e60e8d648ce93185c9b5dbe8d

Apache Airflow versions before 2.10.3 contain a vulnerability that could expose sensitive configuration variables in task logs. This vulnerability allows DAG authors to unintentionally or intentionally log sensitive configuration variables. Unauthorized users could access these logs, potentially exposing critical data that could be exploited to compromise the security of the Airflow deployment. In version 2.10.3, secrets are now masked in task logs to prevent sensitive configuration variables from being exposed in the logging output. Users should upgrade to Airflow 2.10.3 or the latest version to eliminate this vulnerability. If you suspect that DAG authors could have logged the secret values to the logs and that your logs are not additionally protected, it is also recommended that you update those secrets.

Airflow versions before 2.10.3 have a vulnerability that allows authenticated users with audit log access to see sensitive values in audit logs which they should not see. When sensitive variables were set via airflow CLI, values of those variables appeared in the audit log and were stored unencrypted in the Airflow database. While this risk is limited to users with audit log access, it is recommended to upgrade to Airflow 2.10.3 or a later version, which addresses this issue. Users who previously used the CLI to set secret variables should manually delete entries with those variables from the log table.

Improper access control in Samsung Flow prior to version 4.9.15.7 allows physical attackers to access data across multiple user profiles.

Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Due to a race condition in a global variable in 3.6.0-rc1, the argo workflows controller can be made to crash on-command by any user with access to execute a workflow. This vulnerability is fixed in 3.6.0-rc2.

Improper Neutralization of Input During Web Page Generation (XSS or 'Cross-site Scripting') vulnerability in Spiffy Plugins WP Flow Plus allows Stored XSS.This issue affects WP Flow Plus: from n/a through 5.2.3.

The `add_llm` function in `llm_app.py` in infiniflow/ragflow version 0.11.0 contains a remote code execution (RCE) vulnerability. The function uses user-supplied input `req['llm_factory']` and `req['llm_name']` to dynamically instantiate classes from various model dictionaries. This approach allows an attacker to potentially execute arbitrary code due to the lack of comprehensive input validation or sanitization. An attacker could provide a malicious value for 'llm_factory' that, when used as an index to these model dictionaries, results in the execution of arbitrary code.