Exploit Code Published for Critical RCE Vulnerability (CVE-2026-40933) in Flowise AI Platform

PoC Exploit Released for Critical 9.9 CVSS RCE Flaw in Flowise AI Platform

CRITICAL
May 30, 2026
5m read
VulnerabilityCyberattackCloud Security

Related Entities

Organizations

Obsidian Security

Products & Tech

Flowise

Other

Anthropic

CVE Identifiers

CVE-2026-40933
CRITICAL
CVSS:9.9

Full Report

Executive Summary

Security researchers have published a proof-of-concept (PoC) exploit for a critical vulnerability in Flowise, a popular open-source platform for building applications with large language models (LLMs). The vulnerability, tracked as CVE-2026-40933, carries a CVSS score of 9.9 out of 10 and allows for one-click remote code execution (RCE). An attacker can exploit this flaw by convincing a user of a self-hosted Flowise instance to import a specially crafted malicious 'chatflow' file. Successful exploitation can lead to full server takeover, as the Flowise process often runs with root privileges in containerized environments. This gives the attacker access to all credentials and connected services, posing a severe risk to organizations using the platform.


Vulnerability Details

CVE-2026-40933 is a command injection vulnerability with a CVSS score of 9.9 (Critical). The flaw exists in how Flowise handles the Anthropic MCP protocol, a component used by various tools in the AI ecosystem.

  • Attack Vector: The attack is delivered via social engineering. An attacker creates a malicious 'chatflow' file and tricks a legitimate user into importing it into their self-hosted Flowise instance.
  • Root Cause: The vulnerability is a command injection flaw within a component that processes the imported chatflow. The user's single click to import the file is enough to trigger the vulnerability.
  • Impact: The exploit achieves OS-level code execution with the permissions of the Flowise process. Since Flowise is often deployed in Docker containers running as the root user, this typically results in root-level access on the server.

Affected Systems

  • Vulnerable: Self-hosted instances of the Flowise platform are vulnerable by default.
  • Not Vulnerable: The official cloud-hosted version, Flowise Cloud, is not affected as the vulnerable component is disabled in that environment.

Organizations that have deployed Flowise on their own infrastructure are urged to take immediate action.


Exploitation Status

Proof-of-concept (PoC) exploit code and technical details were published by researchers at Obsidian Security. The public availability of a PoC significantly increases the likelihood of widespread exploitation by less sophisticated attackers. At the time of reporting, there is no mention of active exploitation in the wild, but this is expected to change rapidly now that the exploit is public.


Impact Assessment

A successful attack would be catastrophic for an organization using Flowise. With root-level RCE on the server, an attacker would have complete control. They could:

  • Steal all credentials, API keys, and secrets stored within the Flowise platform.
  • Access and exfiltrate data from any connected databases, APIs, and cloud accounts that Flowise interacts with.
  • Use the compromised server as a pivot point to attack other systems on the internal network.
  • Manipulate or poison the LLM applications built with Flowise, leading to malicious or biased outputs.
  • Deploy ransomware or cryptominers on the compromised infrastructure.

Given the platform's popularity (over 52,000 GitHub stars), a large number of self-hosted instances are likely vulnerable.


Cyber Observables — Hunting Hints

The following patterns can help identify exploitation attempts:

Type
log_source
Value
Flowise Application Logs
Description
Monitor for errors or unusual activity immediately following the import of a new chatflow.
Type
process_name
Value
(Flowise process)
Description
Look for the Flowise parent process spawning unexpected child processes, such as shells (/bin/sh, bash) or network tools (curl, wget).
Type
network_traffic_pattern
Value
(Reverse Shell)
Description
Monitor for outbound network connections from the Flowise server to unusual IPs and ports, which could indicate a reverse shell.
Type
file_name
Value
*.json
Description
Be suspicious of chatflow files (.json) received from untrusted sources via email or other channels.

Detection Methods

  1. Process Monitoring (D3-PA): Use an EDR or host-based intrusion detection system to monitor the Flowise process. Create a baseline of its normal child processes and alert on any deviations, especially the spawning of shells or script interpreters.
  2. Network Monitoring (D3-NTA): Analyze network traffic from the Flowise server. Egress filtering and monitoring can detect C2 callbacks, such as a reverse shell connection to an attacker's machine.
  3. File Integrity Monitoring: Monitor the Flowise application directories for unexpected file modifications or additions, which could indicate post-exploitation activity.

Remediation Steps

  1. Patch Immediately: Users of self-hosted Flowise should upgrade to the latest version that addresses CVE-2026-40933. Check the official Flowise GitHub repository for the latest security releases.
  2. Restrict Imports: As an immediate mitigation, implement a strict policy against importing chatflow files from untrusted or external sources. All new chatflows should be developed internally or thoroughly vetted before being imported.
  3. Principle of Least Privilege: Run the Flowise process as a non-privileged user (--user flag in Docker) instead of root. This is a critical hardening step that would not prevent exploitation but would significantly limit the attacker's post-exploitation capabilities, preventing immediate root access to the host.
  4. User Training: Educate Flowise users about the risk of importing untrusted files and the social engineering tactics attackers might use to deliver them.

Timeline of Events

1
May 30, 2026
This article was published

MITRE ATT&CK Mitigations

The primary remediation is to upgrade self-hosted Flowise instances to the latest patched version immediately.

Mapped D3FEND Techniques:

Run the Flowise container/process as a non-privileged user to limit the impact of a successful RCE, preventing immediate root access.

Mapped D3FEND Techniques:

Train users on the dangers of importing files from untrusted sources, as this is the delivery vector for the exploit.

D3FEND Defensive Countermeasures

To mitigate the impact of CVE-2026-40933, Platform Hardening is a critical compensating control. Since the exploit grants privileges of the running process, organizations must ensure their self-hosted Flowise instances do not run as root. When deploying Flowise via Docker, explicitly specify a non-privileged user by adding the --user flag to the docker run command (e.g., --user 1001:1001). This simple change means that even if an attacker achieves RCE, they will be trapped in a low-privilege context within the container. They will not have root access to the container or the underlying host, drastically reducing their ability to pivot, access host-level secrets, or deploy rootkits. This hardening step transforms a critical RCE into a much less severe, contained breach.

Detecting the exploitation of CVE-2026-40933 requires robust Process Analysis. Security teams should configure their EDR or host monitoring tools to baseline the normal behavior of the Flowise process. A high-fidelity detection rule should be created to alert whenever the Flowise parent process spawns any unexpected child processes, particularly shells (/bin/sh, bash), script interpreters (python, node), or network utilities (curl, wget, nc). Since the application's normal function should not involve these actions, such an event is a very strong indicator of compromise. Correlating this process anomaly with a recent file import event or a new outbound network connection provides an extremely reliable signal of exploitation, allowing for rapid automated or manual response.

Sources & References

Exploit Code Published for Critical Flowise RCE Vulnerability - SecurityWeek
SecurityWeek (vertexaisearch.cloud.google.com) May 30, 2026

Article Author

Jason Gomes

Jason Gomes

• Cybersecurity Practitioner

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.

Threat Intelligence & AnalysisSecurity Orchestration (SOAR/XSOAR)Incident Response & Digital ForensicsSecurity Operations Center (SOC)SIEM & Security AnalyticsCyber Fusion & Threat SharingSecurity Automation & IntegrationManaged Detection & Response (MDR)

Tags

CVERCEFlowiseAILLMvulnerabilityPoC

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