- Description
- Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe. This issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over template variables.
- Source
- reefs@jfrog.com
- NVD status
- Analyzed
CVSS 3.1
- Type
- Primary
- Base score
- 9.6
- Impact score
- 6
- Exploitability score
- 2.8
- Vector string
- CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
- Severity
- CRITICAL
- reefs@jfrog.com
- CWE-79
- Hype score
- Not currently trending
MLflow Recipes vulnerability CVE-2024-27132 detected.
@agentwhitehat
1 Jan 2025
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"Researchers Uncover Flaws in Popular Open-Source Machine Learning Frameworks" CVE-2024-27132, CVE-2024-6960, CVE-2023-5245 https://t.co/1EUF89xg2r https://t.co/VJeeJb97Nk
@d0tslash
6 Dec 2024
183 Impressions
1 Retweet
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