CVE-2026-71486
CVE-2026-71486: 1 tracked advisory record across Red Hat. Compare vendor sources and published fix guidance.
Compare the source-linked records below. Ratings and product/version details belong to each advisory; they are not a single CVE-wide score or proof that every listed product is affected. How VulniPulse collects and checks evidence.
Vendor advisory comparison
Red Hat
1 advisory- Advisory severityMedium4.3
Medium [CVE-2026-71486] Denial of Service via unbounded token ID decoding
CVE-2026-71486Source published Source updated
vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the /v1/completions/derender and /v1/chat/completions/derender endpoints accept caller-supplied GenerateResponse objects whose generate_responses, choices, token_ids, prompt_logprobs, logprobs.content, top_logprobs, and routed_experts structures are processed by OnlineDerenderer and tokenizer.decode before max_model_len, max_tokens, max_num_seqs, or response-size limits are enforced, allowing an authenticated API client to consume excessive CPU and memory and produce oversized responses. This issue is fixed in version 0.26.0. A flaw was found in vLLM. These endpoints process the objects without enforcing output bounds or response-size limits. This can lead to excessive consumption of CPU and memory…
- Affected products in this advisory
- Red Hat AI Inference Server
- Red Hat Enterprise Linux AI (RHEL AI) 3
- Red Hat OpenShift AI (RHOAI)
- Source-reported affected versions
- < 0.26.0
- Source-reported fixed versions
- 0.26.0
- Mitigation guidance
- No mitigation guidance extracted; consult the source.
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