Vulnerability · Published Feb 23, 2024 · Assigned by JFROG
CVE-2024-27133Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.
High 7.5
In plain English
A high-severity cross-site scripting in mlflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.7% (higher than 52% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Severity (CVSS 3.1)7.5High
Exploit odds (30 days)0.7%top 48.4% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known
Official description
Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | mlflow | 2.10.0 | GHSA-3v79-q7ph-j75h |
| PyPI | mlflow | 2.10.0 | PYSEC-2024-241 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| mlflow | 0 – through 2.9.2 |
Weakness: CWE-79 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H