CVE-2026-71486 Details
Description
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.
Metrics
CVSS 4.0 Severity and Vector Strings:
No CVSS 4.0 data is available for this CVE.
CVSS 3.x Severity and Vector Strings:
No data available for CVSS Version 2.0 on this CVE.
CISA-ADP
Assessed Aug 18, 2026References to Advisories, Solutions, and Tools
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| URL | Source(s) | Tag(s) |
|---|---|---|
| https://github.com/vllm-project/vllm/commit/8e61b646e2d157f9b93451fa048f9c8530c8a67b | [email protected] | Patch |
| https://github.com/vllm-project/vllm/pull/47260 | [email protected] | Issue TrackingPatch |
| https://github.com/vllm-project/vllm/releases/tag/v0.26.0 | [email protected] | Release Notes |
| https://github.com/vllm-project/vllm/security/advisories/GHSA-8737-qx52-hjff | [email protected] | ExploitVendor AdvisoryMitigation |
Weakness Enumeration
| CWE-ID | CWE Name | Source |
|---|---|---|
| CWE-400 | Uncontrolled Resource Consumption | [email protected] |
| CWE-770 | Allocation of Resources Without Limits or Throttling | [email protected] |
Affected Products
| Product | Versions |
|---|---|
| vllm vllm | < 0.26.0 |
CPE
Remediation
| |
Change History
4 change records found show changes
| Date | Action | Recorded By |
|---|---|---|
| Oct 23, 2026 | CVE Translated | [email protected] |
| Oct 2, 2026 | Initial Analysis | [email protected] |
| Aug 18, 2026 | CVE Modified | CISA-ADP |
| Aug 17, 2026 | New CVE Received | [email protected] |