
Cloud Vulnerability DB
A community-led vulnerabilities database
A vulnerability (CVE-2024-5998) was identified in the FAISS.deserializefrombytes function of langchain-ai/langchain. The vulnerability allows for pickle deserialization of untrusted data, which can lead to the execution of arbitrary commands via the os.system function. The issue affects the latest version of the product (NVD, CVE).
The vulnerability is classified as CWE-502 (Deserialization of Untrusted Data). According to the CVSS 3.0 scoring system, it has received a base score of 5.2 (MEDIUM) with the following vector: CVSS:3.0/AV:P/AC:L/PR:L/UI:R/S:U/C:H/I:L/A:L. This indicates that the vulnerability requires physical access, low attack complexity, low privileges, and user interaction, while potentially resulting in high confidentiality impact and low integrity and availability impacts (NVD).
The vulnerability can lead to the execution of arbitrary commands through the os.system function when exploited. This poses a significant security risk as it could allow attackers to execute unauthorized commands on the affected system (NVD).
A fix has been implemented in the langchain-ai/langchain repository through a commit that addresses the vulnerability (GitHub Commit).
Source: This report was generated using AI
Free Vulnerability Assessment
Evaluate your cloud security practices across 9 security domains to benchmark your risk level and identify gaps in your defenses.
Get a personalized demo
"Best User Experience I have ever seen, provides full visibility to cloud workloads."
"Wiz provides a single pane of glass to see what is going on in our cloud environments."
"We know that if Wiz identifies something as critical, it actually is."