GHSA-5J7G-C464-CJ57

Vulnerability from github – Published: 2026-06-04 12:30 – Updated: 2026-06-04 12:30
VLAI
Details

Memory allocation with excessive size value vulnerability in Samsung Open Source rlottie allows Excessive Allocation.

This issue affects rlottie: before 0b4e308fa88c72cbb60cc8a2c1d2c2ad89b101dd.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-47319"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-789"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-04T10:16:39Z",
    "severity": "MODERATE"
  },
  "details": "Memory allocation with excessive size value vulnerability in Samsung Open Source rlottie allows Excessive Allocation.\n\nThis issue affects rlottie: before 0b4e308fa88c72cbb60cc8a2c1d2c2ad89b101dd.",
  "id": "GHSA-5j7g-c464-cj57",
  "modified": "2026-06-04T12:30:25Z",
  "published": "2026-06-04T12:30:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-47319"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Samsung/rlottie/pull/588"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:H",
      "type": "CVSS_V3"
    }
  ]
}


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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.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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