![⚡ THN Weekly Recap: Top Cybersecurity Threats, Tools and Tips [27 January]](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj1de6DT-dB1sOMXF-3PGpHW68C7duvJm1JreoDh3dNfwhkQ2Q6V60GrDu8HZV3ilI2uWJYCsP_dSJ-OrZNaozg3IsL8xZ_UH6jUVGWOu-cgDmT5n3q64Mgz71jwN49-m2V46my5whXSMZFV5FcTzWux_l-wpclKZCqkSOBpHs-ICyHRAgtT69yA6NTkUp-/s1600/recap.png?#)
Meta's Llama Framework Flaw Exposes AI Systems to Remote Code Execution Risks
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
