vLLM code injection vulnerability

vLLM is an open-source LLM-based inference and service engine that features high throughput and efficient memory usage. Versions of vLLM from 0.10.1 to 0.14.0 contained a code injection vulnerability. This vulnerability stemmed from the loading of the Hugging Face automap dynamic module during...

vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions

Summary Users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimension mismatch that results in an unhandled runtime error, leading to complete server termination. Details T...

Allocation of Resources Without Limits or Throttling

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling in the processimageinput in the idefics3 model implementation. An attacker can cause the server...

CVE-2026-22773 vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions

vLLM is an inference and serving engine for large language models LLMs. In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimensi...

vLLM 安全漏洞

vLLM is vLLM open source a high throughput and memory efficient inference and service engine for LLM. A security vulnerability exists in vLLM version 0.6.4 up to and including version 0.12.0, which stems from the fact that sending specially crafted 1x1 pixel images results in a tensor dimension...

GHSA-MCMC-2M55-J8JJ vLLM introduced enhanced protection for CVE-2025-62164

Summary The fix here for CVE-2025-62164 is not sufficient. The fix only disables prompt embeds by default rather than addressing the root cause, so the DoS vulnerability remains when the feature is enabled. Details vLLM's pending change attempts to fix the root cause, which is the missing sparse...

GHSA-HF3C-WXG2-49Q9 vulnerabilities

Vulnerabilities for packages: tritonserver-backend-vllm...

CVE-2023-48022 vulnerabilities

Vulnerabilities for packages: py3-vllm-cuda-12.4...

GHSA-6WGJ-66M2-XXP2 vulnerabilities

Vulnerabilities for packages: py3-vllm-cuda-12.4...

Remote Code Execution (RCE)

vLLM is vulnerable to Remote Code Execution RCE. The vulnerability is due to unsafe dynamic loading and execution of classes from remote repositories via the automap configuration, which allows an attacker to execute arbitrary code even when trustremotecode is disabled...

Remote Code Execution (RCE)

vllm is vulnerable to Remote Code Execution RCE. The vulnerability is due to improper parsing of tool call inputs, which allows an attacker to execute arbitrary code through crafted payloads...

CVE-2025-66448

A remote code execution vulnerability has been identified in vLLM. An attacker can exploit a weakness in the model loading process to silently fetch and run unauthorized, malicious Python code on the host system. This happens because the engine mistakenly executes code from a remote repository...

CVE-2025-34351 vulnerabilities

Vulnerabilities for packages: py3-vllm-cuda-12.4...

GHSA-GX77-XGC2-4888 vulnerabilities

Vulnerabilities for packages: py3-vllm-cuda-12.4...

EUVD-2025-200115

vLLM vulnerable to remote code execution via transformersutils/getconfig...

GHSA-8FR4-5Q9J-M8GM vLLM vulnerable to remote code execution via transformers_utils/get_config

Summary vllm has a critical remote code execution vector in a config class named NemotronNanoVLConfig. When vllm loads a model config that contains an automap entry, the config class resolves that mapping with getclassfromdynamicmodule... and immediately instantiates the returned class. This...

CVE-2025-66448

vLLM is an inference and serving engine for large language models LLMs. Prior to 0.11.1, vllm has a critical remote code execution vector in a config class named NemotronNanoVLConfig. When vllm loads a model config that contains an automap entry, the config class resolves that mapping with...

Arbitrary Code Injection

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Arbitrary Code Injection via the config class named NemotronNanoVLConfig. An attacker can execute arbitrary code on the host system by publishing a...

CVE-2025-66448

vLLM (prior to 0.11.1) contains a remote code execution vulnerability in Nemotron_Nano_VL_Config where, during model loading, an auto_map entry can cause get_class_from_dynamic_module to fetch and execute code from a remote repository, bypassing trust_remote_code checks. This can enable an attack...

CVE-2025-66448 vLLM vulnerable to remote code execution via transformers_utils/get_config

vLLM is an inference and serving engine for large language models LLMs. Prior to 0.11.1, vllm has a critical remote code execution vector in a config class named NemotronNanoVLConfig. When vllm loads a model config that contains an automap entry, the config class resolves that mapping with...