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CVE-2023-6568

MEDIUM
Published 2023-12-07T04:54:10.377Z
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CVSS Score

V3.0
6.5
/10
CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Base Score Metrics
Exploitability: N/A Impact: N/A

EPSS Score

v2025.03.14
0.177
probability
of exploitation in the wild

There is a 17.7% chance that this vulnerability will be exploited in the wild within the next 30 days.

Updated: 2025-06-25
Exploit Probability
Percentile: 0.948
Higher than 94.8% of all CVEs

Attack Vector Metrics

Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
REQUIRED
Scope
UNCHANGED

Impact Metrics

Confidentiality
HIGH
Integrity
NONE
Availability
NONE

Description

A reflected Cross-Site Scripting (XSS) vulnerability exists in the mlflow/mlflow repository, specifically within the handling of the Content-Type header in POST requests. An attacker can inject malicious JavaScript code into the Content-Type header, which is then improperly reflected back to the user without adequate sanitization or escaping, leading to arbitrary JavaScript execution in the context of the victim's browser. The vulnerability is present in the mlflow/server/auth/__init__.py file, where the user-supplied Content-Type header is directly injected into a Python formatted string and returned to the user, facilitating the XSS attack.

Available Exploits

Mlflow - Cross-Site Scripting

The vulnerability allows an attacker to inject malicious code into the Content-Type header of a POST request, which is then reflected back to the user without proper sanitization or escaping.

ID: CVE-2023-6568
Author: ritikchaddha Medium

Related News

No news articles found for this CVE.

Affected Products

GitHub Security Advisories

Community-driven vulnerability intelligence from GitHub

✓ GitHub Reviewed MODERATE

Cross-site Scripting (XSS) in MLflow

GHSA-vwhf-3v6x-wff8

Advisory Details

A reflected Cross-Site Scripting (XSS) vulnerability exists in the mlflow/mlflow repository, specifically within the handling of the Content-Type header in POST requests. An attacker can inject malicious JavaScript code into the Content-Type header, which is then improperly reflected back to the user without adequate sanitization or escaping, leading to arbitrary JavaScript execution in the context of the victim's browser. The vulnerability is present in the mlflow/server/auth/__init__.py file, where the user-supplied Content-Type header is directly injected into a Python formatted string and returned to the user, facilitating the XSS attack.

Affected Packages

PyPI mlflow
ECOSYSTEM: ≥0 <2.9.0

CVSS Scoring

CVSS Score

5.0

CVSS Vector

CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N

Advisory provided by GitHub Security Advisory Database. Published: December 7, 2023, Modified: April 16, 2024

References

Published: 2023-12-07T04:54:10.377Z
Last Modified: 2024-08-02T08:35:14.502Z
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