Improper neutralization of input during web page generation ('cross-site scripting') vulnerability in OpenText™ ZENworks Service Desk allows Cross-Site Scripting (XSS). The vulnerability could allow an attacker to execute arbitrary JavaScript leading to unauthorized actions on behalf of the user.This issue affects ZENworks Service Desk: 25.2, 25.3.
A race condition in the secrets management subsystem of Juju versions 3.0.0 through 3.6.18 allows an authenticated unit agent to claim ownership of a newly initialized secret. Between generating a Juju Secret ID and creating the secret's first revision, an attacker authenticated as another unit agent can claim ownership of a known secret. This leads to the attacking unit being able to read the content of the initial secret revision.
An authorization bypass vulnerability in the Vault secrets back-end implementation of Juju versions 3.1.6 through 3.6.18 allows an authenticated unit agent to perform unauthorized updates to secret revisions. With sufficient information, an attacker can poison any existing secret revision within the scope of that Vault secret back-end.
In Juju from version 3.0.0 through 3.6.18, the authorization of the "secret-set" tool is not performed correctly, which allows a grantee to update the secret content, and can lead to reading or updating other secrets. When the "secret-set" tool logs an error in an exploitation attempt, the secret is still updated contrary to expectations, and the new value is visible to both the owner and the grantee.
LibreChat version 0.8.1-rc2 uses the same JWT secret for the user session mechanism and RAG API which compromises the service-level authentication of the RAG API.
A JSONPath injection vulnerability in Spring AI's AbstractFilterExpressionConverter allows authenticated users to bypass metadata-based access controls through crafted filter expressions. User-controlled input passed to FilterExpressionBuilder is concatenated into JSONPath queries without proper escaping, enabling attackers to inject arbitrary JSONPath logic and access unauthorized documents.
This vulnerability affects applications using vector stores that extend AbstractFilterExpressionConverter for multi-tenant isolation, role-based access control, or document filtering based on metadata.
The vulnerability occurs when user-supplied values in filter expressions are not escaped before being inserted into JSONPath queries. Special characters like ", ||, and && are passed through unescaped, allowing injection of arbitrary JSONPath logic that can alter the intended query semantics.
A critical SQL injection vulnerability in Spring AI's MariaDBFilterExpressionConverter allows attackers to bypass metadata-based access controls and execute arbitrary SQL commands.
The vulnerability exists due to missing input sanitization.
Glances is an open-source system cross-platform monitoring tool. The Glances action system allows administrators to configure shell commands that execute when monitoring thresholds are exceeded. These commands support Mustache template variables (e.g., `{{name}}`, `{{key}}`) that are populated with runtime monitoring data. The `secure_popen()` function, which executes these commands, implements its own pipe, redirect, and chain operator handling by splitting the command string before passing each segment to `subprocess.Popen(shell=False)`. Prior to 4.5.2, when a Mustache-rendered value (such as a process name, filesystem mount point, or container name) contains pipe, redirect, or chain metacharacters, the rendered command is split in unintended ways, allowing an attacker who controls a process name or container name to inject arbitrary commands. Version 4.5.2 fixes the issue.
Glances is an open-source system cross-platform monitoring tool. Prior to 4.5.2, Glances web server runs without authentication by default when started with `glances -w`, exposing REST API with sensitive system information including process command-lines containing credentials (passwords, API keys, tokens) to any network client. Version 4.5.2 fixes the issue.