CVE-2026-63764

LMDeploy prior to 0.14.0 contains a server-side request forgery (SSRF) in the _load_http_url function of the media handler. The private-IP guard validates only the original URL; after HTTP redirects, hosts are not re-validated. An unauthenticated attacker can submit a crafted image_url to the cha...

PT-2026-62099

lmdeploy's OpenAI-compatible API server contains a server-side request forgery vulnerability that allows unauthenticated attackers to access internal services and cloud metadata endpoints by supplying a crafted image url that redirects to internal targets. Attackers can send a POST request to the...

CVE-2026-24271

NVIDIA TensorRT-LLM contains a vulnerability in the OpenAI-compatible inference API, where an attacker could cause allocation of GPU resources without limits or throttling. 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-2026-5497

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...

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...

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...