CVE-2026-69256: CWE-94: Improper Control of Generation of Code ('Code Injection') in FlowiseAI Flowise
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent node allowed users to provide Python code that is executed through pyodide; although a denylist blocked dangerous Python constructs, pandas.read_pickle() could deserialize a pickled payload and achieve code execution without matching the denied words. The affected file is flowise-components/nodes/agents/CSVAgent/CSVAgent.ts, where user-supplied customReadCSVFunc is evaluated as pd.${customReadCSVFunc}. An authenticated user who can create or modify a chatflow can add a CSV Agent, place a malicious read_pickle payload in the Additional Parameters, save the chatflow, and trigger /api/v1/prediction/<UUID> to execute commands. This issue is fixed in version 3.1.3.
AI Analysis
Technical Summary
The vulnerability (CVE-2026-69256) in FlowiseAI Flowise affects versions before 3.1.3. The CSVAgent node permits users to supply Python code executed through pyodide. Although a denylist attempts to block dangerous Python constructs, it fails to prevent the use of pandas.read_pickle(), which can deserialize malicious pickled payloads leading to arbitrary code execution. The vulnerable code evaluates user input as pd.${customReadCSVFunc} in flowise-components/nodes/agents/CSVAgent/CSVAgent.ts. An authenticated user able to create or modify chatflows can exploit this by adding a CSV Agent with a malicious read_pickle payload and triggering the /api/v1/prediction/<UUID> endpoint, resulting in command execution. The vulnerability is resolved in version 3.1.3.
Potential Impact
An authenticated user with privileges to create or modify chatflows can execute arbitrary code on the system running Flowise by exploiting this vulnerability. This can lead to full system compromise, data theft, or disruption of service. The CVSS 4.0 score of 9.4 reflects the critical severity, with network attack vector, low attack complexity, no user interaction required, and high impacts on confidentiality, integrity, availability, and security requirements.
Mitigation Recommendations
Upgrade Flowise to version 3.1.3 or later, where this vulnerability is fixed. No other mitigations are indicated in the advisory. Since this is not a cloud service, users must apply the patch themselves.
CVE-2026-69256: CWE-94: Improper Control of Generation of Code ('Code Injection') in FlowiseAI Flowise
Description
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent node allowed users to provide Python code that is executed through pyodide; although a denylist blocked dangerous Python constructs, pandas.read_pickle() could deserialize a pickled payload and achieve code execution without matching the denied words. The affected file is flowise-components/nodes/agents/CSVAgent/CSVAgent.ts, where user-supplied customReadCSVFunc is evaluated as pd.${customReadCSVFunc}. An authenticated user who can create or modify a chatflow can add a CSV Agent, place a malicious read_pickle payload in the Additional Parameters, save the chatflow, and trigger /api/v1/prediction/<UUID> to execute commands. This issue is fixed in version 3.1.3.
CVSS v4.0
Score 9.4critical
Affected software
FlowiseAI
Flowise
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Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability (CVE-2026-69256) in FlowiseAI Flowise affects versions before 3.1.3. The CSVAgent node permits users to supply Python code executed through pyodide. Although a denylist attempts to block dangerous Python constructs, it fails to prevent the use of pandas.read_pickle(), which can deserialize malicious pickled payloads leading to arbitrary code execution. The vulnerable code evaluates user input as pd.${customReadCSVFunc} in flowise-components/nodes/agents/CSVAgent/CSVAgent.ts. An authenticated user able to create or modify chatflows can exploit this by adding a CSV Agent with a malicious read_pickle payload and triggering the /api/v1/prediction/<UUID> endpoint, resulting in command execution. The vulnerability is resolved in version 3.1.3.
Potential Impact
An authenticated user with privileges to create or modify chatflows can execute arbitrary code on the system running Flowise by exploiting this vulnerability. This can lead to full system compromise, data theft, or disruption of service. The CVSS 4.0 score of 9.4 reflects the critical severity, with network attack vector, low attack complexity, no user interaction required, and high impacts on confidentiality, integrity, availability, and security requirements.
Mitigation Recommendations
Upgrade Flowise to version 3.1.3 or later, where this vulnerability is fixed. No other mitigations are indicated in the advisory. Since this is not a cloud service, users must apply the patch themselves.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-08-03T19:54:19.853Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6a721340bf8831d5391ad4e0
Added to database: 08/04/2026, 16:28:48 UTC
Last enriched: 08/11/2026, 17:58:19 UTC
Last updated: 09/18/2026, 01:41:10 UTC
Views: 59
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