EUVD-2026-25294
GHSA-v38x-c887-992f
Severity by source
CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Primary rating from GitHub Advisory · only source for this CVE.
CVSS VectorGitHub Advisory
Lifecycle Timeline
6DescriptionGitHub Advisory
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.
AnalysisAI
Remote code execution in FlowiseAI Flowise before 3.1.0 lets an unauthenticated attacker run arbitrary OS commands on the server via the Airtable Agent node. Because LLM-generated Python is executed without proper sandboxing, an attacker who can send prompts to a chatflow containing this node can use prompt injection to coerce the model into emitting malicious Python that runs in the context of the Flowise process. Reported through Trend Micro ZDI (ZDI-CAN-29412); publicly available exploit code exists (SSVC: PoC), though EPSS is low at 0.06% and it is not listed in CISA KEV.
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Same weakness CWE-77 – Command Injection
View allSame technique Command Injection
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External POC / Exploit Code
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