Cyber Posture

CVE-2025-50538

HighPublic PoC

Published: 06 October 2025

Published
06 October 2025
Modified
07 October 2025
KEV Added
Patch
CVSS Score 8.2 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N
EPSS Score 0.0011 28.8th percentile
Risk Priority 16 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-50538 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Flowiseai Flowise. Its CVSS base score is 8.2 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 28.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as AI Agent Protocols and Integrations; in the Other ATLAS/OWASP Terms risk domain.

The strongest mitigations our analysis identified are NIST 800-53 SI-10 (Information Input Validation) and SI-15 (Information Output Filtering).

Threat & Defense at a Glance

What attackers do: exploitation maps to Exploit Public-Facing Application (T1190) and 2 other techniques. What defenders deploy: see the NIST 800-53 controls recommended below.
Threat & Defense Details

Mitigating Controls (NIST 800-53 r5)AI

prevent

Validates and sanitizes inputs to chat logs, preventing injection of malicious IFRAME elements that enable XSS when viewed by admins.

prevent

Filters or encodes chat log outputs to neutralize XSS payloads like malicious IFRAMEs before rendering for admin viewing.

prevent

Requires timely flaw remediation, such as upgrading Flowise to 3.0.5 or later, to address the specific XSS vulnerability in chat log handling.

MITRE ATT&CK Enterprise TechniquesAI

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
T1059.007 JavaScript Execution
Adversaries may abuse various implementations of JavaScript for execution.
T1185 Browser Session Hijacking Collection
Adversaries may take advantage of security vulnerabilities and inherent functionality in browser software to change content, modify user-behaviors, and intercept information as part of various browser session hijacking techniques.
Why these techniques?

Stored XSS vulnerability in FlowiseAI enables exploitation of a public-facing web application (T1190) for arbitrary JavaScript execution (T1059.007) in an admin's browser, facilitating browser session hijacking through theft of credentials from localStorage (T1185).

NVD Description

Flowise before 3.0.5 allows XSS via an IFRAME element when an admin views the chat log.

Deeper analysisAI

CVE-2025-50538 is a cross-site scripting (XSS) vulnerability affecting Flowise versions before 3.0.5. The flaw enables the injection of a malicious IFRAME element that executes when an administrator views the chat log. It carries a CVSS v3.1 base score of 8.2 (AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N) and maps to CWE-79.

An unauthenticated attacker with network access can exploit this vulnerability by tricking an administrator into viewing a crafted chat log containing the malicious IFRAME, which requires user interaction. Successful exploitation results in high confidentiality impact, such as potential theft of sensitive data like admin session tokens, low integrity impact, and no availability impact, with a changed scope that may affect additional resources.

The official Flowise security advisory (GHSA-964p-j4gg-mhwc), pull request #4905, and release notes for version 3.0.5 confirm that the issue is fixed in Flowise 3.0.5. Mitigation involves upgrading to version 3.0.5 or later.

Details

CWE(s)

Affected Products

flowiseai
flowise
≤ 3.0.5

AI Security AnalysisAI

AI Category
AI Agent Protocols and Integrations
Risk Domain
Other ATLAS/OWASP Terms
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
FlowiseAI is an open-source low-code platform for building customized LLM flows and AI agents using LangChainJS, fitting the 'Other Platforms' category as a UI/tooling platform for AI application development.

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References