1480 matches found
CVE-2025-30202: Allocation of Resources Without Limits or Throttling
vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Versions starting from 0.5.2 and prior to 0.8.5 are vulnerable to denial of service and data exposure via ZeroMQ on multi-node vLLM deployment. In a multi-node vLLM deployment, vLLM uses ZeroMQ for some multi-no...
vLLM Vulnerable to Remote Code Execution via Mooncake Integration
Impacted Deployments Note that vLLM instances that do NOT make use of the mooncake integration are NOT vulnerable. Description vLLM integration with mooncake is vaulnerable to remote code execution due to using pickle based serialization over unsecured ZeroMQ sockets. The vulnerable sockets were...
Data exposure via ZeroMQ on multi-node vLLM deployment
Impact In a multi-node vLLM deployment, vLLM uses ZeroMQ for some multi-node communication purposes. The primary vLLM host opens an XPUB ZeroMQ socket and binds it to ALL interfaces. While the socket is always opened for a multi-node deployment, it is only used when doing tensor parallelism acros...
PT-2025-54996
Уязвимость функции input processor for phi4mm библиотеки для работы с большими языковыми моделями LLM vLLM связана с использованием регулярного выражения с неэффективной вычислительной сложностью. Эксплуатация уязвимости может позволить нарушителю, действующему удаленно, вызвать отказ в...
PT-2025-54994
Уязвимость класса MultiModalHasher библиотеки для работы с большими языковыми моделями LLM vLLM связана с неправильной проверкой согласованности во входных данных. Эксплуатация уязвимости может позволить нарушителю, действующему удаленно, раскрыть защищаемую информацию...
PT-2025-18215
Name of the Vulnerable Software and Affected Versions vLLM versions 0.5.2 through 0.8.5 Description The issue affects vLLM, a high-throughput and memory-efficient inference and serving engine for LLMs. In a multi-node vLLM deployment, vLLM uses ZeroMQ for some multi-node communication purposes,...
Denial Of Service (DoS)
vllm is vulnerable to Denial of Service DoS. The vulnerability is due to unbounded in-memory cache growth due to allowing unique schema requests to continually populate the grammar cache, potentially exhausting system RAM...
GHSA-GGPF-24JW-3FCW CVE-2025-24357 Malicious model remote code execution fix bypass with PyTorch < 2.6.0
Description https://github.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54 reported a vulnerability where loading a malicious model could result in code execution on the vllm host. The fix applied to specify weightsonly=True to calls to torch.load did not solve the problem prior to...
PT-2025-54995
Уязвимость механизма PageAttention библиотеки для работы с большими языковыми моделями LLM vLLM связана с раскрытием информации из-за несоответствия во времени. Эксплуатация уязвимости может позволить нарушителю, действующему удаленно, раскрыть защищаемую информацию...
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...
GHSA-HF3C-WXG2-49Q9 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...
CVE-2025-1979 vulnerabilities
Vulnerabilities for packages: py3.10-vllm-cuda-12.6...
GHSA-W4RH-FGX7-Q63M vulnerabilities
Vulnerabilities for packages: py3.10-vllm-cuda-12.6...
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...
GHSA-389X-67PX-MJG3 vulnerabilities
Vulnerabilities for packages: py3.10-vllm-cuda-11.8...
CVE-2025-32381 vulnerabilities
Vulnerabilities for packages: py3.10-vllm-cuda-11.8...
PT-2025-54993
Уязвимость класса PyNcclPipe библиотеки для работы с большими языковыми моделями LLM vLLM связана с недостатками механизма десериализации. Эксплуатация уязвимости может позволить нарушителю, действующему удаленно, выполнить произвольный код...
PT-2025-22278
Name of the Vulnerable Software and Affected Versions vLLM versions 0.6.5 through 0.8.4 Description vLLM, an inference and serving engine for large language models LLMs, contains a remote code execution issue. This impacts environments utilizing the PyNcclPipe KV cache transfer integration with t...