CVE-2026-41265 | FlowiseAI Flowise up to 3.0.x Airtable_Agents command injection (GHSA-v38x-c887-992f)
VulDBArchived Apr 24, 2026✓ Full text saved
A vulnerability, which was classified as critical , was found in FlowiseAI Flowise up to 3.0.x . This impacts the function Airtable_Agents . The manipulation results in command injection. This vulnerability is cataloged as CVE-2026-41265 . The attack may be launched remotely. There is no exploit available. You should upgrade the affected component.
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✦ AI Summary· Claude Sonnet
VDB-359215 · CVE-2026-41265 · GHSA-V38X-C887-992F
FLOWISEAI FLOWISE UP TO 3.0.X AIRTABLE_AGENTS COMMAND INJECTION
HISTORYDIFFRELATEJSONXMLCTI
CVSS Meta Temp Score Current Exploit Price (≈) CTI Interest Score
7.0 $0-$5k 2.19+
Summaryinfo
A vulnerability has been found in FlowiseAI Flowise up to 3.0.x and classified as critical. Affected is the function Airtable_Agents. This manipulation causes command injection. This vulnerability is registered as CVE-2026-41265. Remote exploitation of the attack is possible. No exploit is available. The affected component should be upgraded.
Detailsinfo
A vulnerability was found in FlowiseAI Flowise up to 3.0.x. It has been declared as critical. Affected by this vulnerability is the function Airtable_Agents. The manipulation with an unknown input leads to a command injection vulnerability. The CWE definition for the vulnerability is CWE-77. The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
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.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-41265 since 04/18/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.
Upgrading to version 3.1.0 eliminates this vulnerability.
Productinfo
Vendor
FlowiseAI
Name
Flowise
Version
3.0
Website
Product: https://github.com/FlowiseAI/Flowise/
CPE 2.3info
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CPE 2.2info
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CVSSv4info
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3info
VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 7.0
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2info
Vector Complexity Authentication Confidentiality Integrity Availability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploitinginfo
Class: Command injection
CWE: CWE-77 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligenceinfo
Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍
Countermeasuresinfo
Recommended: Upgrade
Status: 🔍
0-Day Time: 🔒
Upgrade: Flowise 3.1.0
Timelineinfo
04/18/2026 CVE reserved
04/23/2026 +5 days Advisory disclosed
04/23/2026 +0 days VulDB entry created
04/23/2026 +0 days VulDB entry last update
Sourcesinfo
Product: github.com
Advisory: GHSA-v38x-c887-992f
Status: Confirmed
CVE: CVE-2026-41265 (🔒)
GCVE (CVE): GCVE-0-2026-41265
GCVE (VulDB): GCVE-100-359215
Entryinfo
Created: 04/23/2026 23:19
Changes: 04/23/2026 23:19 (68)
Complete: 🔍
Cache ID: 99:C62:101
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