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AI agent vulnerability · Flowise

GHSA-x7rp-qj2h-ghgw: Flowise Fails to Invalidate Existing Sessions After Password Changes

highCVSS 3.0 8.1

Summary Failure to Invalidate Existing Sessions After Password Change (Persistent Session / Session Invalidity Failure). Details After a user changes their password, the application does not invalidate other active sessions or session tokens that were established before the change.

Published Nov 14, 2025

Affected packages

flowise

Ecosystem
npm
Affected
< 3.0.10
Fixed in
3.0.10
Check
npm ls flowise

Advisory details

From the GitHub Advisory Database (CC BY 4.0).

Summary

Failure to Invalidate Existing Sessions After Password Change (Persistent Session / Session Invalidity Failure).

Details

After a user changes their password, the application does not invalidate other active sessions or session tokens that were established before the change. An attacker who already has an active session (e.g., via a stolen session token, device left logged in, or other access) continues to be authenticated even after the legitimate user rotates credentials, allowing the attacker to retain access despite the user’s password change.

PoC

Repro steps:

  1. As logged in user on two browsers (ie. Chrome and Firefox, with incognito/private mode) https://cloud.flowiseai.com/account change password, on the Chrome for example
  2. Refresh the site on Firefox (second browser) - notice that still logged in (despite credentials were changed)

POC: Steps described above (in Repro steps) completed successfully.

Impact

Persistent unauthorized access despite credential rotation - undermines the primary purpose of password changes as a remediation step. Enables attackers with an active session (remote or physical access to a device) to continue acting as the user (confidentiality and integrity impact). If session tokens are not bound to the credential state, forced password changes won’t terminate attacker sessions.

Resources OWASP Session Management Cheat Sheet CWE-613: Insufficient Session Expiration

Credited to mbiesiad.

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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