GHSA-3RH5-9P47-7947

Vulnerability from github – Published: 2022-05-24 17:00 – Updated: 2022-05-24 17:00
VLAI?
Details

The Device Model in ACRN before 2019w25.5-140000p relies on assert calls in devicemodel/hw/pci/core.c and devicemodel/include/pci_core.h (instead of other mechanisms for propagating error information or diagnostic information), which might allow attackers to cause a denial of service (assertion failure) within pci core.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-18844"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-11-13T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "The Device Model in ACRN before 2019w25.5-140000p relies on assert calls in devicemodel/hw/pci/core.c and devicemodel/include/pci_core.h (instead of other mechanisms for propagating error information or diagnostic information), which might allow attackers to cause a denial of service (assertion failure) within pci core.",
  "id": "GHSA-3rh5-9p47-7947",
  "modified": "2022-05-24T17:00:48Z",
  "published": "2022-05-24T17:00:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-18844"
    },
    {
      "type": "WEB",
      "url": "https://github.com/projectacrn/acrn-hypervisor/issues/3252"
    },
    {
      "type": "WEB",
      "url": "https://github.com/projectacrn/acrn-hypervisor/commit/2b3dedfb9ba13f15887f22b935d373f36c9a59fa"
    },
    {
      "type": "WEB",
      "url": "https://github.com/projectacrn/acrn-hypervisor/commit/6199e653418eda58cd698d8769820904453e2535"
    },
    {
      "type": "WEB",
      "url": "https://github.com/shuox/acrn-hypervisor/commit/97b153237c256c586e528eac7fc2f51aedb2b2fc"
    },
    {
      "type": "WEB",
      "url": "https://github.com/projectacrn/acrn-hypervisor/compare/acrn-2019w25.4-140000p...acrn-2019w25.5-140000p"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}


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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.

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