CVE-2026-47475

NVIDIA TensorRT-LLM contains a vulnerability in the OpenAI-compatible inference API where an attacker could trigger a reachable assertion in the sampler thread. A successful exploit of this vulnerability might lead to denial of service...

CVE-2026-47475

Summary of CVE-2026-47475 (NVIDIA TensorRT-LLM) : A vulnerability in the OpenAI-compatible inference API could allow an attacker to trigger a reachable assertion in the sampler thread, potentially causing a denial of service. The issue is scoped to NVIDIA TensorRT-LLM, with local attack vector an...

CVE-2026-54033

LibreChat is an enhanced ChatGPT clone that supports multiple AI providers. Prior to 0.8.4-rc1, LibreChat allows users to configure custom OpenAI-compatible API endpoints by setting a baseURL. This URL is used to construct HTTP requests without any SSRF validation — no private IP check, no scheme...

PYSEC-2026-2302

vLLM versions 0.8.0 and later are vulnerable to an Out-of-Memory OOM Denial of Service DoS attack due to unbounded frame count processing in the VideoMediaIO.loadbase64 method. When processing video/jpeg data URLs, the method splits the base64 data string on commas to extract individual JPEG fram...

CVE-2026-5497

CVE-2026-5497 affects vLLM 0.8.0 and later, where VideoMediaIO.load_base64() can perform unbounded frame processing for video/jpeg data URLs, leading to an Out-of-Memory DoS. An attacker can craft a single API request with thousands of comma-separated base64 JPEG frames, causing the server to dec...

EUVD-2026-19351

vLLM is an inference and serving engine for large language models LLMs. From 0.1.0 to before 0.19.0, a Denial of Service vulnerability exists in the vLLM OpenAI-compatible API server. Due to the lack of an upper bound validation on the n parameter in the ChatCompletionRequest and CompletionReques...

CVE-2026-34756

vLLM is an inference and serving engine for large language models LLMs. From 0.1.0 to before 0.19.0, a Denial of Service vulnerability exists in the vLLM OpenAI-compatible API server. Due to the lack of an upper bound validation on the n parameter in the ChatCompletionRequest and CompletionReques...

CVE-2026-34756: Allocation of Resources Without Limits or Throttling

vLLM is an inference and serving engine for large language models LLMs. From 0.1.0 to before 0.19.0, a Denial of Service vulnerability exists in the vLLM OpenAI-compatible API server. Due to the lack of an upper bound validation on the n parameter in the ChatCompletionRequest and CompletionReques...

vLLM vulnerable to Denial of Service by abusing xgrammar cache

Impact This report is to highlight a vulnerability in XGrammar, a library used by the structured output feature in vLLM. The XGrammar advisory is here: https://github.com/mlc-ai/xgrammar/security/advisories/GHSA-389x-67px-mjg3 The xgrammar library is the default backend used by vLLM to support...

PT-2025-19362

Impact This report is to highlight a vulnerability in XGrammar, a library used by the structured output feature in vLLM. The XGrammar advisory is here: https://github.com/mlc-ai/xgrammar/security/advisories/GHSA-389x-67px-mjg3 The xgrammar library is the default backend used by vLLM to support...

PYSEC-2025-223

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. The outlines library is one of the backends used by vLLM to support structured output a.k.a. guided decoding. Outlines provides an optional cache for its compiled grammars on the local filesystem. This cache has...