Skip to content
NewA calmer, faster ZeroHour

Meta's Llama Framework Flaw Exposes AI Systems to Remote Code Execution Risks

The Hacker Newsby @TheHackersNews ()4 min read3 · 1 read
Analyze CVE-2024-50050 with Vani AIImpact, affected versions, exploitation, mitigations and detection

Vulnerabilities mentioned

All
CVEVulnerabilityCVSSEPSSSignalsPublished
CVE-2024-3660
A arbitrary code injection vulnerability in TensorFlow's Keras framework (<2.13) allows attackers to execute arbitrary code with the same permissions as the…
9.82%
CVE-2024-50050
Llama Stack prior to revision 7a8aa775e5a267cf8660d83140011a0b7f91e005 used pickle as a serialization format for socket communication, potentially allowing for…
6.3<1%

From the original article

4 min read at thehackernews.com

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.

The Hacker News

By @TheHackersNews · thehackernews.com

Read the full article at The Hacker News

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.