CVE-2023-6568: A reflected Cross-Site Scripting (XSS) vulnerability exists in the mlflow/mlflow repository, specifically within the han
Summary
MLflow, an open-source machine learning platform, has a reflected XSS (cross-site scripting, where an attacker injects malicious JavaScript that runs in a victim's browser) vulnerability in how it handles the Content-Type header in POST requests. An attacker can craft a malicious Content-Type header that gets sent back to the user without proper filtering, allowing arbitrary JavaScript code to execute in the victim's browser.
Vulnerability Details
6.1(medium)
EPSS: 33.4%
Classification
Affected Vendors
Related Issues
CVE-2022-21727: Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulne
CVE-2026-22252: LibreChat is a ChatGPT clone with additional features. Prior to v0.8.2-rc2, LibreChat's MCP stdio transport accepts arbi
Original source: https://nvd.nist.gov/vuln/detail/CVE-2023-6568
First tracked: February 15, 2026 at 08:46 PM
Classified by LLM (prompt v3) · confidence: 85%