CVE-2026-73559 json
vLLM: Completion prompt lists fan out into unbounded engine requests
published 2026-08-13 2 mo ago modified 2026-09-28 41 d ago also EUVD-2026-58067 , GHSA-87x5-vmc3-756j , PYSEC-2026-3704
- cvss
- 6.5
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.6%
- EPSS 0.6% chance of exploitation in 30 days, percentile 48%
- public exploits
- 0
- none known
Summary
vLLM is an inference and serving engine for large language models. From 0.19.0 until 0.26.0, the /v1/completions CompletionRequest.prompt field in vllm/entrypoints/openai/completion/protocol.py accepts an unbounded list[str] or list[list[int]], prompt_to_seq() in vllm/renderers/inputs/preprocess.py and OnlineRenderer.preprocess_completion() in vllm/renderers/online_renderer.py expand every element, and vllm/entrypoints/openai/completion/serving.py creates one engine generator and response slot per prompt, allowing an authenticated API client to exhaust CPU, memory, async scheduling capacity, engine request slots, and response buffering with one request. This issue is fixed in version 0.26.0.
Patch / fix
- pypi vllm 0.26.0
- vllm-project vllm 0.26.0
- github.com/vllm-project/vllm@675f429 commit
- github.com/vllm-project/vllm#47845 pull request
- github.com/vllm-project/vllm/releases/tag/v0.26.0 release
Vendor advisories
What the vendors themselves say about their products: affected, fixed or not affected, and what to do.
red hat product security vex CVE-2026-73559 updated cvss 6.5
vllm: vLLM: Denial of Service via unbounded completion prompt lists
-
Red Hat OpenShift AI (RHOAI) rhoai/odh-vllm-gaudi-rhel9affected: no fix available “Fix deferred”
-
Red Hat AI Inference Server 3.5 rhaii/vllm-cpu-rhel9 1791473614, rhaii/vllm-cuda-rhel9 1791473631, rhaii/vllm-rocm-rhel9 1791425869, rhaii/vllm-gaudi-rhel9 1791427182, rhaii/vllm-spyre-rhel9 1791818357fixed: vendor fix RHSA-2026:82415
-
Red Hat Enterprise Linux AI 3.5 rhelai3/bootc-cuda-rhel9 1793135861, rhelai3/bootc-rocm-rhel9 1793135863, rhelai3/bootc-aws-cuda-rhel9 1793194817, rhelai3/bootc-gcp-cuda-rhel9 1793194815, rhelai3/disk-image-cuda-rhel9 1793206758, rhelai3/bootc-azure-cuda-rhel9 1793194815, +1 morefixed: vendor fix RHSA-2026:92452
-
Red Hat AI Inference Server rhaii/vllm-tpu-rhel9, rhaiis/vllm-cpu-rhel9, rhaiis/vllm-tpu-rhel9, rhaiis/vllm-cuda-rhel9, rhaiis/vllm-rocm-rhel9, rhaii/vllm-neuron-rhel9, +2 more Red Hat Enterprise Linux AI (RHEL AI) 3 rhelai3/bootc-gaudi-rhel9 Red Hat OpenShift AI (RHOAI) rhoai/odh-kserve-agent-rhel9, rhoai/odh-kserve-router-rhel9, rhoai/odh-llm-d-kv-cache-rhel9, rhoai/odh-kserve-controller-rhel9, rhoai/odh-kserve-storage-initializer-rhel9not affected: vulnerable code not present
Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf
CISA SSVC
- Exploitation
- Proof of concept is public
- Automatable
- no
- Technical impact
- partial
- Assessed
- 2 mo ago
Exploit prediction
0.58% chance of exploitation in the next 30 days, higher than 48% of all scored CVEs (FIRST EPSS, 2026-11-08).
Exploits and checks
- github.com https://github.com/vllm-project/vllm/security/advisories/GHSA-87x5-vmc3-756j referenced PoC, tagged "exploit" by a source, unverified
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 6.5 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
| GitHub | 3.1 | 6.5 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
| OSV | 3.1 | 6.5 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | vllm | >=0.19.0, <0.26.0 |
0.26.0 |
Affected products
- vllm-project vllm
Classification
- Weakness
-
- CWE-400 Uncontrolled Resource Consumption
References
-
github.com
/vllm-project/vllm/pull/47845
web, issue-tracking, patch
-
github.com
/vllm-project/vllm/commit/675f4295cdfe0d870471c2b51bfeca3a68a9569e
web, patch
-
github.com
/vllm-project/vllm/security/advisories/GHSA-87x5-vmc3-756j
exploit, web, vendor-advisory
-
github.com
/vllm-project/vllm/releases/tag/v0.26.0
web, release-notes
-
nvd.nist.gov
/vuln/detail/CVE-2026-73559
advisory
-
github.com
/vllm-project/vllm
package
-
pypi.org
/project/vllm
package
-
github.com
/advisories/GHSA-87x5-vmc3-756j
advisory
Sources
- CVE List CVE-2026-73559
- GitHub Advisory GHSA-87x5-vmc3-756j
- NVD CVE-2026-73559
- OSV PYSEC-2026-3704
Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.
CPEs and fixed versions use Anchore's correction of NVD's data: Added CPE configurations because not yet analyzed by NVD.