vllm@0.8.5.post1 vulnerabilities

A high-throughput and memory-efficient inference and serving engine for LLMs

latest version

0.8.5.post1

first published

1 years ago

latest version published

16 days ago

licenses detected

Apache-2.0
[0,)

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Direct Vulnerabilities

Known vulnerabilities in the vllm package. This does not include vulnerabilities belonging to this package’s dependencies.

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Vulnerability Vulnerable Version

Vulnerability	Vulnerable Version
H Deserialization of Untrusted Data 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 via the `SUB` ZeroMQ socket, where the deserialization is performed using the unsafe `pickle` library. An attacker on the same cluster can execute arbitrary code on the remote machine by sending maliciously crafted deserialized payloads. Note The V0 engine is off by default since v0.8.0, and the V1 engine is not affected. Due to the V0 engine's deprecated status and the invasive nature of a fix, the developers recommend ensuring a secure network environment if the V0 engine with multi-host tensor parallelism is still in use. How to fix Deserialization of Untrusted Data? There is no fixed version for `vllm`.	[0.5.2,)
H Deserialization of Untrusted Data 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 `MessageQueue.dequeue()` API function. An attacker can execute arbitrary code by sending a malicious payload to the message queue. How to fix Deserialization of Untrusted Data? There is no fixed version for `vllm`.	[0,)

Deserialization of Untrusted Data

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 via the SUB ZeroMQ socket, where the deserialization is performed using the unsafe pickle library. An attacker on the same cluster can execute arbitrary code on the remote machine by sending maliciously crafted deserialized payloads.

Note The V0 engine is off by default since v0.8.0, and the V1 engine is not affected. Due to the V0 engine's deprecated status and the invasive nature of a fix, the developers recommend ensuring a secure network environment if the V0 engine with multi-host tensor parallelism is still in use.

How to fix Deserialization of Untrusted Data?

There is no fixed version for vllm.

[0.5.2,)

Deserialization of Untrusted Data

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 MessageQueue.dequeue() API function. An attacker can execute arbitrary code by sending a malicious payload to the message queue.

How to fix Deserialization of Untrusted Data?

There is no fixed version for vllm.

[0,)

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