RCE in Flowiseai Flowise
CVE-2026-41265
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.
Vulnerability class: Command Injection (OS Command Injection)
EPSS: 0.006 (44.9th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 9.8 (Critical). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.
Affected products
- Flowiseai Flowise — versions < 3.1.0
Weakness classification (CWE)
References
- security-advisories@github.com (x_refsource_CONFIRM, Exploit, Vendor Advisory)
Frequently asked questions
- What is CVE-2026-41265?
- CVE-2026-41265 is a critical-severity vulnerability in Flowiseai Flowise, classified under Command Injection. CVSS score: 9.8/10. Published 2026-04-23.
- How severe is CVE-2026-41265?
- Critical severity. CVSS v3 base score is 9.8 out of 10.