VLLM is an open-source platform for high-performance serving of large language models, enabling scalable AI inference workloads.
Overview
VLLM is an open-source platform for high-performance serving of large language models, enabling scalable AI inference workloads. Its deployments depend on AI inference frameworks and runtimes, making it a notable component in AI supply chains where zero-day and RCE vulnerabilities can propagate, underscoring cybersecurity significance for VLLM-based deployments.
Related Threat Clusters
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Critical Unauthenticated RCE Vulnerability in LiteLLM Exploited in the Wild
A critical command injection vulnerability, CVE-2026-42271, in LiteLLM, an open-source AI gateway, allows unauthenticated remote code execution (RCE) when chained with CVE-2026-48710, a Host header validation bypass in…
17 articles · Updated June 9, 2026 -
Critical BadHost Vulnerability Exposes AI Applications to Authentication Bypass
A severe vulnerability known as BadHost (CVE-2026-48710) has been identified in the Starlette framework, affecting millions of AI applications, including those built on FastAPI. This flaw allows unauthenticated…
16 articles · Updated May 26, 2026 -
CVE-2026-56340: High-Risk Denial of Service Vulnerability in vLLM
A critical vulnerability, CVE-2026-56340, affects vLLM versions 0.10.2 to 0.12.x, which lack sparse tensor validation in multimodal embeddings processing. Attackers can exploit this flaw by submitting malformed tensor…
2 articles · Updated June 21, 2026 -
Critical RCE Vulnerabilities Found in AI Inference Engines of Major Tech Firms
Researchers have identified critical remote code execution (RCE) vulnerabilities in AI inference engines utilized by Meta, Nvidia, and Microsoft. These flaws could potentially allow attackers to exploit the frameworks,…
6 articles · Updated November 17, 2025 -
Zeroday Cloud Competition Awards $320,000 for 11 Zero-Day Vulnerabilities
The Zeroday Cloud hacking competition in London awarded $320,000 to researchers for demonstrating 11 critical zero-day vulnerabilities in cloud infrastructure components. Hosted by Wiz Research in collaboration with…
2 articles · Updated December 17, 2025 -
RCE Vulnerabilities Discovered in Major AI Inference Frameworks
Critical remote code execution (RCE) vulnerabilities have been identified in AI inference frameworks from Meta, Nvidia, Microsoft, and open-source projects like vLLM and SGLang. These flaws arise from unsafe code reuse,…
3 articles · Updated November 18, 2025
Recent Intelligence Reports
- CVE-2026-56340 - Exploits & Severity — Feedly · June 20, 2026
- LiteLLM Flaw Chains to CVSS 10 Unauthenticated RCE — Aiweekly.Co · June 9, 2026
- FastAPI — Csoonline · May 27, 2026
- Zeroday Cloud hacking event awards $320,0000 for 11 zero days — Bleepingcomputer · December 17, 2025
- Zero-Days in the Age of AI: Behind the Scenes of ZeroDay.cloud 2025 — Wiz · December 16, 2025
- AI Frameworks Under Siege: RCE Flaws and Malware Surge Threaten 40% of Dev Pipelines — Webpronews · November 18, 2025
- Copy-paste vulnerability hits AI inference frameworks at Meta, Nvidia, and Microsoft — Csoonline · November 14, 2025