Описание
vLLM versions >= 0.6.3 and < 0.9.0 contain multiple regular expression denial of service (ReDoS) vulnerabilities. Several regex patterns — in vllm/lora/utils.py, the phi4mini tool parser, and the OpenAI-compatible serving chat endpoint — are susceptible to catastrophic backtracking. An attacker submitting crafted input with nested or repeated structures can trigger severe CPU consumption and performance degradation, resulting in denial of service.
A flaw was found in vLLM. Multiple regular expression denial of service (ReDoS) vulnerabilities exist in versions greater than or equal to 0.6.3 and less than 0.9.0. An attacker can exploit this by submitting crafted input with nested or repeated structures to specific regex patterns within vLLM, such as those in vllm/lora/utils.py, the phi4mini tool parser, and the OpenAI-compatible serving chat endpoint. This can lead to severe CPU consumption and performance degradation, resulting in a denial of service (DoS) for the affected system.
Отчет
Red Hat rates this issue as having Low impact for Red Hat AI products. Shipped vLLM versions in Red Hat OpenShift AI, Red Hat AI Inference Server, and Red Hat Enterprise Linux AI do not include the vulnerable regular expression code paths.
Меры по смягчению последствий
No mitigation required for unaffected versions.
Затронутые пакеты
| Платформа | Пакет | Состояние | Рекомендация | Релиз |
|---|---|---|---|---|
| Red Hat AI Inference Server | rhaiis/vllm-cpu-rhel9 | Not affected | ||
| Red Hat AI Inference Server | rhaiis/vllm-cuda-rhel9 | Not affected | ||
| Red Hat AI Inference Server | rhaiis/vllm-neuron-rhel9 | Not affected | ||
| Red Hat AI Inference Server | rhaiis/vllm-rocm-rhel9 | Not affected | ||
| Red Hat AI Inference Server | rhaiis/vllm-spyre-rhel9 | Not affected | ||
| Red Hat AI Inference Server | rhaiis/vllm-tpu-rhel9 | Not affected | ||
| Red Hat AI Inference Server | rhaii/vllm-cpu-rhel9 | Not affected | ||
| Red Hat AI Inference Server | rhaii/vllm-cuda-rhel9 | Not affected | ||
| Red Hat AI Inference Server | rhaii/vllm-gaudi-rhel9 | Not affected | ||
| Red Hat AI Inference Server | rhaii/vllm-neuron-rhel9 | Not affected |
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Дополнительная информация
Статус:
EPSS
4.3 Medium
CVSS3
Связанные уязвимости
vLLM versions >= 0.6.3 and < 0.9.0 contain multiple regular expression denial of service (ReDoS) vulnerabilities. Several regex patterns — in vllm/lora/utils.py, the phi4mini tool parser, and the OpenAI-compatible serving chat endpoint — are susceptible to catastrophic backtracking. An attacker submitting crafted input with nested or repeated structures can trigger severe CPU consumption and performance degradation, resulting in denial of service.
vLLM versions >= 0.6.3 and < 0.9.0 contain multiple regular expression ...
vLLM versions >= 0.6.3 and < 0.9.0 contain multiple regular expression denial of service (ReDoS) vulnerabilities. Several regex patterns — in vllm/lora/utils.py, the phi4mini tool parser, and the OpenAI-compatible serving chat endpoint — are susceptible to catastrophic backtracking. An attacker submitting crafted input with nested or repeated structures can trigger severe CPU consumption and performance degradation, resulting in denial of service.
EPSS
4.3 Medium
CVSS3