PT-2025-12092

Name of the Vulnerable Software and Affected Versions vllm versions 0.5.2.2 Description The issue is related to Denial of Service attacks. It occurs in the "POST /v1/completions" and "POST /v1/embeddings" endpoints. For "POST /v1/completions", enabling use beam search and setting best of to a hig...

PT-2025-12093

Name of the Vulnerable Software and Affected Versions vllm-project vllm version v0.6.2 Description The issue is related to a remote code execution vulnerability in the MessageQueue.dequeue API function. This function uses pickle.loads to parse received sockets directly, allowing an attacker to...

CVE-2025-29770

A flaw was found in vLLM. This vulnerability can allow Denial of Service via filesystem exhaustion. Mitigation Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicabilit...

PYSEC-2025-63

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code...

CVE-2025-29783

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code...

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...

CVE-2025-29770

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...

Deserialization of Untrusted Data

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the MooncakePipe class, which relies on pickle for serialization and deserialization in recvtensor. An attacker...

GHSA-X3M8-F7G5-QHM7 vLLM Allows Remote Code Execution via Mooncake Integration

Summary When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP will allow attackers to execute remote code on distributed hosts. Details 1. Pickle deserialization vulnerabilities are well documented. 2. The mooncake pipe is exposed over the network by design...

vLLM Allows Remote Code Execution via Mooncake Integration

Summary When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP will allow attackers to execute remote code on distributed hosts. Details 1. Pickle deserialization vulnerabilities are well documented. 2. The mooncake pipe is exposed over the network by design...

vLLM denial of service via outlines unbounded cache on disk

Impact 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 been on by default in vLLM. Outlines is also available by default through the...

GHSA-MGRM-FGJV-MHV8 vLLM denial of service via outlines unbounded cache on disk

Impact 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 been on by default in vLLM. Outlines is also available by default through the...

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 outlineslogitsprocessors.py module, which uses a local cache with unbounded size by default...

CVE-2025-29783 vLLM Allows Remote Code Execution via Mooncake Integration

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code...

CVE-2025-29783 vLLM Allows Remote Code Execution via Mooncake Integration

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code...

CVE-2025-29783

CVE-2025-29783 affects vLLM when Mooncake is configured for KV distribution across distributed hosts. The root cause is unsafe deserialization via pickle in the mooncake_pipe path exposed over ZMQ/TCP on all network interfaces, allowing remote code execution on affected distributed hosts. Public ...

CVE-2025-29783

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code...

CVE-2025-29770 vLLM denial of service via outlines unbounded cache on disk

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...

CVE-2025-29770 vLLM denial of service via outlines unbounded cache on disk

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...

CVE-2025-29770 vLLM denial of service via outlines unbounded cache on disk

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...