Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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flowise-components is a Flowiseai Components
Affected versions of this package are vulnerable to Incomplete List of Disallowed Inputs via the run() function of the CSV_Agents class when evaluating LLM-generated Python scripts in a pyodide environment without sufficient sandboxing. An attacker can execute arbitrary code on the server by crafting prompts that bypass input validation and cause malicious Python code to be executed. This can be achieved by sending specially crafted prompts to a chatflow using the CSV Agent node, resulting in the execution of attacker-controlled commands in the context of the server process.