Allocation of Resources Without Limits or Throttling Affecting vllm package, versions [,0.26.0)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
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.
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applicationsSnyk Learn
Learn about Allocation of Resources Without Limits or Throttling vulnerabilities in an interactive lesson.
Start learning- Snyk IDSNYK-PYTHON-VLLM-18912241
- published18 Aug 2026
- disclosed18 Aug 2026
- creditRex Liu
Introduced: 18 Aug 2026
NewCVE-2026-71486 (opens in a new tab)How to fix?
Upgrade vllm to version 0.26.0 or higher.
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 via the derender endpoints (derender_chat_response and derender_completion_response in vllm/entrypoints/scale_out/derender/serving.py) due to missing resource bounds validation on caller-supplied token structures. An authenticated remote attacker can send requests containing arbitrarily large generate_responses payloads — with oversized token_ids, logprobs.content, top_logprobs, or prompt_logprobs arrays — causing unbounded tokenizer.decode() and parser invocations that exhaust CPU and memory resources on the server.