All 24 CVE vulnerabilities found in run-llama/llama_index, with AI-generated Chinese analysis, references, and POCs.
This page aggregates known security vulnerabilities and weaknesses associated with the run-llama/llama_index product, categorized by their respective Common Weakness Enumerations (CWE) and Common Vulnerabilities and Exposures (CVE) identifiers. It collects data regarding various security flaws affecting this LLM application framework, covering vulnerabilities identified and published from early 2023 through the present day. Users can utilize this resource to track vendor advisories from the run-llama team, understand the technical specifics of specific weakness classes impacting large language model integration, and look up a detailed history of vulnerabilities for this specific product to assess its security posture over time. The content focuses on factual reporting of discovered issues, including improper access controls, injection vulnerabilities, and other common software defects, to help developers and security professionals make informed decisions about updates and mitigation strategies. This collection serves as a centralized reference point for monitoring the evolving security landscape of llama_index, ensuring that users are aware of critical patches and known issues that may affect the integrity, confidentiality, or availability of their applications. By reviewing the aggregated data, stakeholders can better evaluate risks and implement appropriate safeguards to protect their deployments against previously identified threats.
Vendor: run-llama
All 24 known CVE vulnerabilities affecting run-llama/llama_index with full Chinese analysis, references, and POCs where available.