One Article Review
| Source |  The Hacker News |
|---|---|
| Identifiant | 8620630 |
| Date de publication | 2024-12-06 16:58:00 (vue: 2024-12-06 13:08:10) |
| Titre | Researchers Uncover Flaws in Popular Open-Source Machine Learning Frameworks |
| Texte | Cybersecurity researchers have disclosed multiple security flaws impacting open-source machine learning (ML) tools and frameworks such as MLflow, H2O, PyTorch, and MLeap that could pave the way for code execution.
The vulnerabilities, discovered by JFrog, are part of a broader collection of 22 security shortcomings the supply chain security company first disclosed last month.
Unlike the first
Cybersecurity researchers have disclosed multiple security flaws impacting open-source machine learning (ML) tools and frameworks such as MLflow, H2O, PyTorch, and MLeap that could pave the way for code execution. The vulnerabilities, discovered by JFrog, are part of a broader collection of 22 security shortcomings the supply chain security company first disclosed last month. Unlike the first |
| Notes | ★★ |
| Envoyé | Oui |
| Condensat | are broader chain code collection company could cybersecurity disclosed discovered execution first flaws frameworks h2o have impacting jfrog last learning machine mleap mlflow month multiple open part pave popular pytorch researchers security shortcomings source such supply tools uncover unlike vulnerabilities way |
| Tags | Tool Vulnerability |
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