{
 "id": "AIR-2026-0553",
 "slug": "cve-2026-34753-vllm-server-side-request-forgery-in-batch-run",
 "title": "CVE-2026-34753: vLLM Server-Side Request Forgery in batch runner",
 "summary": "An SSRF flaw in vLLM allows actors controlling batch input JSON to trigger arbitrary HTTP requests from the server. This exposes internal services and cloud metadata endpoints.",
 "type": "attack_on_ai",
 "categories": [
  "infra_vuln"
 ],
 "severity": 2,
 "targets": [
  "framework_or_tooling"
 ],
 "products": [
  "vLLM"
 ],
 "incident_date": "2026-04-03",
 "incident_date_precision": "day",
 "first_reported": "2026-04-03",
 "sources": [
  {
   "url": "https://github.com/advisories/GHSA-pf3h-qjgv-vcpr",
   "publisher": "GitHub Advisory Database",
   "title": "CVE-2026-34753: vLLM: Server-Side Request Forgery (SSRF) in `download_bytes_from_url `",
   "published_at": "2026-04-03"
  },
  {
   "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34753",
   "publisher": "NVD",
   "title": "CVE-2026-34753: vLLM is an inference and serving engine for large language models (LLMs).",
   "published_at": "2026-04-06"
  }
 ],
 "source_count": 2,
 "confidence": 0.95,
 "status": "published",
 "origin": "seed_ghsa",
 "tags": [
  "CVE-2026-34753",
  "ssrf"
 ],
 "created_at": "2026-10-18T07:00:14.101Z",
 "updated_at": "2026-10-18T10:04:21.885Z"
}