Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') The advisory has been revoked - it doesn't affect any version of package langflow (opens in a new tab)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
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 applications- Snyk IDSNYK-PYTHON-LANGFLOW-15762990
- published24 Mar 2026
- disclosed24 Mar 2026
- credithuseyingulsin
Introduced: 24 Mar 2026
CVE-2026-33475 (opens in a new tab)Amendment
This was deemed not a vulnerability.
Overview
langflow is an A Python package with a built-in web application
Affected versions of this package are vulnerable to Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') via unsanitized interpolation of GitHub context variables in run steps within workflow files. An attacker can execute arbitrary shell commands and exfiltrate CI secrets by submitting a pull request or branch with a crafted name or title.