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CVE-2026-71486vLLM: Derender endpoints decode caller-supplied GenerateResponse token IDs without output bounds

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.

Timeline

  1. ID reserved

    By GitHub_M

  2. · 11 days later

    Published

  3. · 1 day later

    Record updated

Changes after publication (a new score, a public exploit, EPSS crossing 1, 10 or 50 %, leaving KEV) are kept since November 2026; earlier ones are not known.

Scores

CVSS scores of CVE-2026-71486, by who scored it
Scored byCVSSScoreVector
GitHub_MCNA (assigner)3.1Medium4.3CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
NVDNVD · Analyzed3.1Medium4.3CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
EPSS (exploitation in 30 days)
0.37% · top 68% of all CVEs (13 Nov 2026)
CISA SSVC
Exploitation: none · Automatable: no · Technical impact: partial
Loading the EPSS history…

The list uses the assigner's score when there is one, then CISA's, then NVD's: Medium 4.3.

Affected products

Affected packages

From reviewed advisories of the GitHub Advisory Database.

References

References4

Sources

The same CVE in the primary databases and aggregators, to check against.

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Record last updated .