{"items":[{"id":"NVI-00016383","kind":"vulnerability","title":"vLLM: Completion prompt lists fan out into unbounded engine requests","revision":1,"unknowns":["Customer inventory, deployment, reachability and exploitation have not been inspected."],"lifecycle":"active","identifiers":["GHSA-87x5-vmc3-756j","CVE-2026-73559"],"plain_summary":"GitHub lists this reviewed advisory for vllm. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.","review_status":"source_listed","control_topics":[],"public_actions":[{"summary":"Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.","source_ids":["sr-6ca639fd56ba4f0d04a7c6294f0c0ab6"],"action_type":"investigate","limitations":"Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system.","current_supported_target":null}],"schema_version":"1.1.0","source_metrics":[{"kind":"CVSS","as_of":"2026-08-13T18:40:09.000Z","value":"6.5 medium","meaning":"GitHub source severity; exploitability and local consequence require separate evidence.","source_id":"sr-6ca639fd56ba4f0d04a7c6294f0c0ab6"}],"why_it_matters":"Published affected context helps an owner decide what evidence to gather. This report has not examined your application.","related_sources":[{"id":"sr-6ca639fd56ba4f0d04a7c6294f0c0ab6","url":"https://github.com/advisories/GHSA-87x5-vmc3-756j","basis":"vendor_advisory","notes":"GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.","title":"GHSA-87x5-vmc3-756j","publisher":"GitHub Advisory Database","observed_at":"2026-11-02T20:16:47.162Z"}],"affected_context":[{"certainty":"source_listed","source_ids":["sr-6ca639fd56ba4f0d04a7c6294f0c0ab6"],"technology":"vllm","known_exclusions":[],"conditions_summary":"## Summary\n\nThe `/v1/completions` request model accepts `prompt` as a list of text prompts or a list of token-id prompts without any outer prompt-count bound. The serving path turns each element into a separate engine input, creates one engine generator per element, merges all generators, and allocates a response slot per prompt. An authenticated API client can therefore turn one request into an attacker-chosen number of backend subrequests before any aggregate request-count budget is enforced.\n\n## Technical Details\n\n`CompletionRequest.prompt` allows both list-shaped prompt inputs and scalar prompts:\n\n```python\n# vllm/entrypoints/openai/completion/protocol.py\nprompt: (\n    list[Annotated[int, Field(ge=0)]]\n    | list[list[Annotated[int, Field(ge=0)]]]\n    | str\n    | list[str]\n    | None\n) = None\n```\n\nThe validator only requires some prompt-like input to be present:\n\n```python\ndef validate_prompt_and_prompt_embeds(cls, data):\n    prompt = data.get(\"prompt\")\n    prompt_embeds = data.get(\"prompt_embeds\")\n    ...\n    if prompt_is_empty and embeds_is_empty:\n        raise VLLMValidationError(...)\n```\n\nThe renderer then expands list-shaped prompts as a sequence. `prompt_to_seq()` wraps a","public_affected_ranges":[">= 0.19.0, < 0.26.0"]}],"null_published_at":"2026-11-04T10:04:27.938Z","source_updated_at":"2026-08-13T18:40:09.000Z","source_disclosed_at":"2026-08-13T18:40:06.000Z","is_synthetic_fixture":false,"null_last_reviewed_at":null,"public_change_summary":"First indexed by Null; source disclosure date is shown separately.","null_first_observed_at":"2026-11-02T20:16:47.162Z"}],"next_cursor":null,"snapshot_revision":"42594"}