{"description":"Trending threats, MITRE ATT\u0026CK coverage, and detection metadata — refreshed continuously.","feed_url":"https://feed.craftedsignal.io/tags/airtable/","home_page_url":"https://feed.craftedsignal.io/","items":[{"_cs_actors":[],"_cs_cves":[],"_cs_exploited":false,"_cs_products":[],"_cs_severities":["critical"],"_cs_tags":["flowiseai","rce","prompt-injection","airtable"],"_cs_type":"advisory","_cs_vendors":[],"content_html":"\u003cp\u003eFlowiseAI is susceptible to a remote code execution (RCE) vulnerability within the AirtableAgent function. This function, designed to retrieve and process datasets from Airtable.com, is flawed due to the lack of input sanitization. Specifically, user-supplied input is directly incorporated into a prompt template, which is then used to generate Python code executed by Pyodide. By injecting malicious payloads into the prompt, an attacker can bypass the intended behavior of the language model and execute arbitrary Python code, leading to complete system compromise. The vulnerability resides in \u003ccode\u003eAirtableAgent.ts\u003c/code\u003e and is triggered when the \u003ccode\u003einput\u003c/code\u003e variable, containing user-supplied data, is passed to the LLMChain without proper validation.\u003c/p\u003e\n\u003ch2 id=\"attack-chain\"\u003eAttack Chain\u003c/h2\u003e\n\u003col\u003e\n\u003cli\u003eAn attacker crafts a malicious payload containing a prompt injection designed to execute arbitrary code.\u003c/li\u003e\n\u003cli\u003eThe attacker submits the crafted payload via the FlowiseAI application to the AirtableAgent function.\u003c/li\u003e\n\u003cli\u003eThe payload is passed into the \u003ccode\u003einput\u003c/code\u003e variable without sanitization and incorporated into the prompt template within \u003ccode\u003esystemPrompt\u003c/code\u003e.\u003c/li\u003e\n\u003cli\u003eThe LLMChain uses the crafted prompt, including the injected code, to generate a \u003ccode\u003epythonCode\u003c/code\u003e string.\u003c/li\u003e\n\u003cli\u003eThe generated \u003ccode\u003epythonCode\u003c/code\u003e string, containing the malicious code, is passed to the \u003ccode\u003epyodide.runPythonAsync()\u003c/code\u003e function.\u003c/li\u003e\n\u003cli\u003ePyodide executes the malicious Python code, leading to remote code execution on the FlowiseAI server.\u003c/li\u003e\n\u003cli\u003eThe attacker gains control of the FlowiseAI instance, potentially accessing sensitive data or pivoting to other systems on the network.\u003c/li\u003e\n\u003c/ol\u003e\n\u003ch2 id=\"impact\"\u003eImpact\u003c/h2\u003e\n\u003cp\u003eSuccessful exploitation of this vulnerability allows for complete remote code execution on the FlowiseAI server. This could lead to the compromise of sensitive data stored within Airtable datasets, as well as the potential for lateral movement to other systems on the network. The lack of input validation opens the door to attackers using prompt injection to bypass security measures and gain unauthorized access.\u003c/p\u003e\n\u003ch2 id=\"recommendation\"\u003eRecommendation\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003eApply input sanitization and validation to the \u003ccode\u003einput\u003c/code\u003e variable within the AirtableAgent function in \u003ccode\u003eAirtableAgent.ts\u003c/code\u003e before it is incorporated into the prompt template.\u003c/li\u003e\n\u003cli\u003eImplement strict output filtering on the \u003ccode\u003epythonCode\u003c/code\u003e generated by the LLMChain to prevent the execution of potentially malicious code.\u003c/li\u003e\n\u003cli\u003eDeploy the Sigma rule to detect prompt injection attempts targeting the AirtableAgent function.\u003c/li\u003e\n\u003cli\u003eRegularly audit and update FlowiseAI dependencies, including Pyodide and Pandas, to address any known security vulnerabilities.\u003c/li\u003e\n\u003c/ul\u003e\n","date_modified":"2026-04-16T21:43:57Z","date_published":"2026-04-16T21:43:57Z","id":"/briefs/2024-01-flowise-rce/","summary":"A remote code execution vulnerability exists in FlowiseAI's AirtableAgent.ts due to insufficient input verification when using Pandas, allowing attackers to inject malicious code into the prompt and execute arbitrary code via Pyodide.","title":"FlowiseAI AirtableAgent Remote Code Execution via Prompt Injection","url":"https://feed.craftedsignal.io/briefs/2024-01-flowise-rce/"}],"language":"en","title":"CraftedSignal Threat Feed — Airtable","version":"https://jsonfeed.org/version/1.1"}