FKIE_CVE-2026-84286

Vulnerability from fkie_nvd - Published: 2026-10-12 17:17 - Updated: 2026-10-12 18:17
Severity
Summary
ExLlamaV3’s EXL3 loader uses an untrusted, model-supplied index to select a CUDA kernel without first verifying that the index is within bounds. A malicious model can force the code to read and invoke an out‑of‑range function pointer, resulting in a reproducible crash. Under specific conditions involving certain host memory layouts, it may be possible for an attacker to exploit this vulnerability to achieve controlled indirect kernel dispatch during model load.
Impacted products
Vendor Product Version

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "ExLlamaV3",
          "vendor": "Turboderp-org",
          "versions": [
            {
              "status": "affected",
              "version": "3"
            }
          ]
        }
      ],
      "source": "cret@cert.org"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "ExLlamaV3\u2019s EXL3 loader uses an untrusted, model-supplied index to select a CUDA kernel without first verifying that the index is within bounds. A malicious model can force the code to read and invoke an out\u2011of\u2011range function pointer, resulting in a reproducible crash. Under specific conditions involving certain host memory layouts, it may be possible for an attacker to exploit this vulnerability to achieve controlled indirect kernel dispatch during model load."
    }
  ],
  "id": "CVE-2026-84286",
  "lastModified": "2026-10-12T18:17:24.160",
  "metrics": {},
  "published": "2026-10-12T17:17:35.873",
  "references": [
    {
      "source": "cret@cert.org",
      "url": "https://github.com/turboderp-org/exllamav3/pull/310"
    },
    {
      "source": "cret@cert.org",
      "url": "https://kb.cert.org/vuls/id/369611"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "url": "https://www.kb.cert.org/vuls/id/369611"
    }
  ],
  "sourceIdentifier": "cret@cert.org",
  "vulnStatus": "Received"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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