{
 "id": "AIR-2026-0761",
 "slug": "cve-2026-53923-vllm-gguf-dequantization-kernel-information-d",
 "title": "CVE-2026-53923: vLLM GGUF Dequantization Kernel Information Disclosure",
 "summary": "Integer truncation in vLLM GGUF dequantization kernels leads to partial tensor processing and uninitialized GPU memory exposure. This flaw can result in cross-tenant information disclosure in shared inference environments.",
 "type": "attack_on_ai",
 "categories": [
  "infra_vuln"
 ],
 "severity": 2,
 "targets": [
  "framework_or_tooling"
 ],
 "products": [
  "vLLM"
 ],
 "incident_date": "2026-06-17",
 "incident_date_precision": "day",
 "first_reported": "2026-06-17",
 "sources": [
  {
   "url": "https://github.com/advisories/GHSA-5jv2-g5wq-cmr4",
   "publisher": "GitHub Advisory Database",
   "title": "CVE-2026-53923: vLLM: GGUF dequantize kernel int truncation exposes uninitialized GPU memory in multi-tenant serving",
   "published_at": "2026-06-17"
  },
  {
   "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-53923",
   "publisher": "NVD",
   "title": "CVE-2026-53923: vLLM is an inference and serving engine for large language models (LLMs).",
   "published_at": "2026-06-22"
  }
 ],
 "source_count": 2,
 "confidence": 0.95,
 "status": "published",
 "origin": "seed_ghsa",
 "tags": [
  "CVE-2026-53923",
  "information_disclosure",
  "vllm"
 ],
 "created_at": "2026-10-18T07:00:14.101Z",
 "updated_at": "2026-10-18T10:04:21.885Z"
}