As organizations increasingly integrate Large Language Models (LLMs) into their web applications to enhance user experience, they inadvertently expose themselves to a new class of vulnerabilities known as Web LLM Attacks. These attacks leverage the LLM's access to data, APIs, and user information, enabling adversaries to perform actions that would typically be inaccessible.

In this article, we dive deep into a critical security flaw in Apache DolphinScheduler (CVE-2022-45875) a command injection vulnerability within its alert script execution module. This weakness allows attackers to inject and execute arbitrary commands, potentially leading to remote code execution (RCE) and full system compromise.