AI Infrastructure LiteLLM Supply Chain Poisoning Alert

Overview Recently, NSFOCUS Technology CERT detected that the GitHub community disclosed that there was a credential stealing program in the new version of LiteLLM. Analysis confirmed that it had suffered supply chain poisoning by the TeamPCP group on PyPI. It stole the publishing permission credentials by hacking into the security...

Analysis of the Attack Surface in the Agent Skills Architecture: Case Studies and Ecosystem Research

Background As LLMs and intelligent agents expand from dialogue to task execution, the encapsulation, reuse and orchestration of LLM capabilities have become key issues. As a capability abstraction mechanism, Skills encapsulates reasoning logic, tool calls and execution processes into reusable skill units, enabling the model to achieve stable, consistent and...

The Escalating AI Security Threat in the Cloud: NSFOCUS Protection Recommendations

As AI applications fully embrace the cloud, emerging components and complex supply chains—while offering convenience—have also led to a sharp rise in risks from configuration flaws and vulnerability exploitation, making the AI security landscape in the cloud increasingly severe. In response to this trend, NSFOCUS conducted analysis of 48 typical...

NSFOCUS AI-Scan Gains Recognition from Authoritative Institution

SANTA CLARA, Calif., Jan 22, 2026 – Recently, International Data Corporation (IDC) released the report "China Large Language Model (LLM) Security Assessment Platform Vendor Technology Evaluation" (Doc#CHC53839325, October 2025). NSFOCUS was selected for this report based on its proven product performance and LLM security assessment methodology. With a comprehensive capability matrix...

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