Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the Airtable_Agents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. Using prompt injection techniques, an unauthenticated attacker with the ability to send prompts to a chatflow using the Airtable Agent node may convince an LLM to respond with a malicious python script that executes attacker controlled commands on the flowise server. This vulnerability is fixed in 3.1.0.
Use CWE-77, Flowiseai vendor hub and Flowise product page to widen CVE-2026-41265 into its surrounding weakness, vendor, and product context.
Compare it with CVE-2026-41268, CVE-2026-41278 and CVE-2026-41271 for nearby disclosures in the same product family.