The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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py3.10-vllm-cuda-12.6
to version 0.8.4-r0 or higher.
Note: Versions mentioned in the description apply only to the upstream py3.10-vllm-cuda-12.6
package and not the py3.10-vllm-cuda-12.6
package as distributed by Chainguard
.
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for Chainguard
relevant fixed versions and status.
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 execution vulnerability impacting any deployments using Mooncake to distribute KV across distributed hosts. This vulnerability is fixed in 0.8.0.