Source |
The Hacker News |
Identifiant |
8642857 |
Date de publication |
2025-01-26 15:45:00 (vue: 2025-01-26 11:07:58) |
Titre |
Meta\\'s Llama Framework Flaw Exposes AI Systems to Remote Code Execution Risks |
Texte |
A high-severity security flaw has been disclosed in Meta\'s Llama large language model (LLM) framework that, if successfully exploited, could allow an attacker to execute arbitrary code on the llama-stack inference server.
The vulnerability, tracked as CVE-2024-50050, has been assigned a CVSS score of 6.3 out of 10.0. Supply chain security firm Snyk, on the other hand, has assigned it a
A high-severity security flaw has been disclosed in Meta\'s Llama large language model (LLM) framework that, if successfully exploited, could allow an attacker to execute arbitrary code on the llama-stack inference server.
The vulnerability, tracked as CVE-2024-50050, has been assigned a CVSS score of 6.3 out of 10.0. Supply chain security firm Snyk, on the other hand, has assigned it a |
Notes |
★★★
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Envoyé |
Oui |
Condensat |
2024 50050 allow arbitrary assigned attacker been chain code could cve cvss disclosed execute execution exploited exposes firm flaw framework hand has high inference language large llama llm meta model other out remote risks score security server severity snyk stack successfully supply systems tracked vulnerability |
Tags |
Vulnerability
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Stories |
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