{
 "id": "AIR-2026-0081",
 "slug": "cve-2026-73558-vllm-data-leakage-vulnerability-in-activation",
 "title": "CVE-2026-73558: vLLM data leakage vulnerability in activation kernels",
 "summary": "An integer overflow in vLLM activation kernels allowed inference requests in the same batch to consume another user's input, leaking inference results. The issue was patched in version 0.27.0.",
 "type": "attack_on_ai",
 "categories": [
  "infra_vuln",
  "data_leak"
 ],
 "severity": 2,
 "targets": [
  "framework_or_tooling"
 ],
 "products": [
  "vLLM"
 ],
 "incident_date": "2026-08-13",
 "incident_date_precision": "day",
 "first_reported": "2026-08-13",
 "sources": [
  {
   "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-73558",
   "publisher": "NVD",
   "title": "CVE-2026-73558: vLLM is an inference and serving engine for large language models.",
   "published_at": "2026-08-13"
  },
  {
   "url": "https://github.com/advisories/GHSA-7m6h-x95x-82q5",
   "publisher": "GitHub Advisory Database",
   "title": "CVE-2026-73558: vLLM: Cross-User Data Leak Vulnerability",
   "published_at": "2026-09-08"
  }
 ],
 "source_count": 2,
 "confidence": 0.95,
 "status": "published",
 "origin": "seed_nvd",
 "tags": [
  "CVE-2026-73558",
  "vllm"
 ],
 "created_at": "2026-10-18T06:33:31.967Z",
 "updated_at": "2026-10-18T07:00:14.101Z"
}