Unauthenticated command execution via LLM-generated Python
Published Apr 23, 2026 · Updated Apr 23, 2026
Command injection in Flowise before 3.1.0 allows remote attackers to execute arbitrary commands through an Airtable Agent chatflow. The Airtable_Agents run method passes LLM-generated Python to Pyodide after a bypassable regex blocklist, allowing disguised imports to invoke OS commands. Exploitation requires a reachable chatflow configured with the Airtable Agent node and an LLM that produces the injected script; commands run as the Flowise service account.
Summary
What happened
Command injection in Flowise before 3.1.0 allows remote attackers to execute arbitrary commands through an Airtable Agent chatflow. The Airtable_Agents run method passes LLM-generated Python to Pyodide after a bypassable regex blocklist, allowing disguised imports to invoke OS commands. Exploitation requires a reachable chatflow configured with the Airtable Agent node and an LLM that produces the injected script; commands run as the Flowise service account.
The record
- CVE
- CVE-2026-41265
- Published
- Apr 23, 2026
- Updated
- Apr 23, 2026
- Vendor
- FlowiseAI
- Product
- Flowise
- Classifications
- CWE-77, T1190, T1059.006
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Apr 23, 2026CVE publishedPublication date reported by the CVE source.
- Apr 23, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=< 3.1.0
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- Airtable Agent prompt-injection proof of conceptfunctional · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
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Your stack
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