Tiiny-AI PowerInfer FFN GPU-split Loader ggml-cuda.cu create_striped_mat_to_gpu out-of-bounds

{
  "id": "8ae4959cefb030720341d203b7a09465cfe15569ff2f90ea96fc247cf8f2b5f6",
  "url": "https://osv.dev/vulnerability/CVE-2026-108960",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "Tiiny-AI PowerInfer FFN GPU-split Loader ggml-cuda.cu create_striped_mat_to_gpu out-of-bounds",
    "summary": "A vulnerability was detected in Tiiny-AI PowerInfer up to 8bd56d69906c9d2dba4d3bf6899763401e01a9a4. Affected is the function create_striped_mat_to_gpu of the file smallthinker/ggml/src/ggml-cuda/ggml-cuda.cu of the component FFN GPU-split Loader. The manipulation results in out-of-bounds read. The attack needs to be approached locally. The exploit is now public and may be used. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed. The pull request to fix this issue awaits acceptance.",
    "evidence": "osv:CVE-2026-108960",
    "products": [],
    "severity": "low",
    "structured": {
      "id": "CVE-2026-108960",
      "aliases": [
        "CVE-2026-108960"
      ],
      "metrics": [
        {
          "type": "CVSS_V4",
          "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P"
        }
      ],
      "affected": [
        {
          "ranges": [
            {
              "repo": "https://github.com/tiiny-ai/powerinfer",
              "type": "GIT",
              "events": [
                {
                  "introduced": "8bd56d69906c9d2dba4d3bf6899763401e01a9a4"
                },
                {
                  "last_affected": "8bd56d69906c9d2dba4d3bf6899763401e01a9a4"
                }
              ],
              "database_specific": {
                "extracted_events": [
                  {
                    "range": [
                      {
                        "introduced": "8bd56d69906c9d2dba4d3bf6899763401e01a9a4"
                      },
                      {
                        "last_affected": "8bd56d69906c9d2dba4d3bf6899763401e01a9a4"
                      }
                    ],
                    "source": "AFFECTED_FIELD",
                    "strategy": "StandaloneSingleVersion"
                  }
                ]
              }
            }
          ],
          "versions": [
            "8bd56d69906c9d2dba4d3bf6899763401e01a9a4"
          ],
          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-108960.json"
          }
        }
      ],
      "modified": "2026-10-28T02:30:42.247401122Z",
      "provider": "osv",
      "references": [
        "https://github.com/Tiiny-AI/PowerInfer/",
        "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/108xxx/CVE-2026-108960.json",
        "https://nvd.nist.gov/vuln/detail/CVE-2026-108960",
        "https://vuldb.com/cve/CVE-2026-108960",
        "https://vuldb.com/submit/997933",
        "https://vuldb.com/vuln/416779",
        "https://github.com/Tiiny-AI/PowerInfer/issues/284",
        "https://vuldb.com/vuln/416779/cti"
      ],
      "provider_metadata": {
        "cwe_ids": [
          "CWE-119",
          "CWE-125"
        ],
        "cna_assigner": "VulDB",
        "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/108xxx/CVE-2026-108960.json"
      }
    },
    "related_cves": [
      {
        "value": "CVE-2026-108960",
        "evidence": "/id"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 509943,
  "published_at": "2026-10-13T03:00:18.429+00:00"
}