Use of Hard-coded Credentials Affecting flowise package, versions <3.1.0
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applicationsSnyk Learn
Learn about Use of Hard-coded Credentials vulnerabilities in an interactive lesson.
Start learning- Snyk IDSNYK-JS-FLOWISE-16119150
- published22 Apr 2026
- disclosed16 Apr 2026
- creditUnknown
Introduced: 16 Apr 2026
CVE-2026-56269 (opens in a new tab)How to fix?
Upgrade flowise to version 3.1.0 or higher.
Overview
flowise is a Flowiseai Server
Affected versions of this package are vulnerable to Use of Hard-coded Credentials via the weak default TOKEN_HASH_SECRET. An attacker can access sensitive internal identifiers by decrypting the meta field in JWT tokens when the default secret is used, potentially enabling privilege escalation or unauthorized data access by manipulating token metadata.