CVE-2026-41270 represents a critical security flaw in the Flowise application developed by FlowiseAI. This vulnerability allows authenticated users to exploit a Server-Side Request Forgery (SSRF) protection bypass, which can lead to unauthorized access to internal network resources. The affected versions include all prior to 3.1.0, and the vulnerability is specifically linked to the Custom Function feature.
The vulnerability was published on April 23, 2026, and has been assigned a CVSS score of 7.1, categorizing it as high severity. This assessment indicates that while exploitation requires low privileges and no user interaction, the potential impact on confidentiality and integrity is substantial. Organizations utilizing Flowise should be aware of the risk posed by this vulnerability.
The exploitation of this vulnerability could allow attackers to access cloud provider metadata services and other internal resources. Given the nature of the flaw, organizations must prioritize remediation to mitigate the risk associated with this vulnerability. The vendor has addressed this issue in version 3.1.0.
Organizations should prioritize patching immediately. Applying the latest update from FlowiseAI will ensure that the SSRF controls are effectively enforced and prevent unauthorized access.
Vulnerability Details
The official description of this vulnerability indicates that it exists due to the implementation of SSRF protection via HTTP_DENY_LIST for axios and node-fetch libraries, while allowing built-in Node.js http, https, and net modules without equivalent protection. This oversight in security controls exposes systems to risk.
The vulnerability has been classified under CWE-284 (Improper Access Control) and CWE-918 (Server-Side Request Forgery). It is crucial for organizations to understand the implications of these weaknesses and take appropriate actions.
The CVSS score assigned to this vulnerability reflects its significant impact potential, with a base score of 7.1, indicating a high severity level. This underscores the importance of addressing the vulnerability promptly to safeguard sensitive internal resources.
Technical Analysis
The root cause of the vulnerability lies in the inadequate implementation of SSRF controls within the NodeVM sandbox environment of the Flowise application. By allowing the built-in Node.js modules, the application fails to enforce the same level of protection as it does for external libraries, leading to a critical oversight.
The attack vector for this vulnerability is network-based, with high attack complexity due to the need for authenticated user access. However, no user interaction is required for exploitation. The attack can lead to significant confidentiality and integrity impacts, while availability impact is rated as low.
Risk & Impact Analysis
The deployment of affected versions of Flowise presents substantial risks to organizations. Attackers leveraging this vulnerability could potentially gain access to sensitive internal resources, increasing the risk of data breaches and unauthorized information disclosure.
The urgency to address this vulnerability is underscored by its high CVSS score and the potential for exploitation. Organizations should assess their exposure to this risk and prioritize remediation efforts to mitigate potential impacts on their operations.
Given the nature of the flaw, the blast radius could encompass various internal resources, making it vital for organizations to implement stringent monitoring and access controls to prevent potential exploitation.
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The affected versions of Flowise include all prior to version 3.1.0. Organizations should ensure they upgrade to this version or later to mitigate the vulnerability.
Mitigation & Remediation
To remediate this vulnerability, organizations should apply the latest patch from FlowiseAI, specifically upgrading to version 3.1.0 or higher. This update addresses the SSRF protection bypass and reinforces the security of the application.
In the event that immediate patching is not possible, organizations should consider implementing additional access controls to limit authenticated users' ability to interact with internal network resources. Network segmentation and monitoring can also help to detect any unauthorized access attempts.
Security testing can further validate the effectiveness of the patch and identify any remaining vulnerabilities in the system.
Detection Guidance
Organizations should monitor their systems for unusual access patterns, particularly those relating to internal network resources. Log indicators that may signify exploitation attempts include unauthorized HTTP requests to internal services and any anomalies in user behavior.
Behavioral anomalies, such as authenticated users accessing resources that are typically restricted, should be flagged for further investigation. Additionally, network signatures that indicate unusual traffic patterns can help detect potential exploitation.
AppSecure Threat Intelligence Insight
The discovery of CVE-2026-41270 highlights the ongoing challenges associated with SSRF vulnerabilities in modern applications. Security teams should take this incident as a reminder of the importance of thorough security reviews and the implementation of comprehensive security controls.
This vulnerability serves as a significant case for organizations to re-evaluate their application security practices, particularly regarding the handling of network requests within sandboxed environments. Implementing robust security measures will help mitigate similar risks in the future.
Penetration testing methodology should be reviewed and updated regularly to ensure that all potential vulnerabilities are identified and mitigated.
Vulnerability management programs must also be aligned with current threat landscapes to effectively address new vulnerabilities as they arise.
API security testing should be a focus area for organizations using applications like Flowise to ensure that their APIs are not vulnerable to similar SSRF exploits.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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