GHSA-9Q5J-JM53-V7VR

Vulnerability from github – Published: 2022-09-01 22:24 – Updated: 2022-09-01 22:24
VLAI
Summary
lz4-sys vulnerable to memory corruption via issue in liblz4
Details

lz4-sys up to v1.9.3 bundles a version of liblz4 that is vulnerable to CVE-2021-3520.

Attackers could craft a payload that triggers an integer overflow upon decompression, causing an out-of-bounds write.

The flaw has been corrected in version v1.9.4 of liblz4, which is included in lz4-sys 1.9.4.

Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
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{
  "affected": [
    {
      "package": {
        "ecosystem": "crates.io",
        "name": "lz4-sys"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.9.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [],
  "database_specific": {
    "cwe_ids": [
      "CWE-190",
      "CWE-787"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-09-01T22:24:55Z",
    "nvd_published_at": null,
    "severity": "CRITICAL"
  },
  "details": "lz4-sys up to v1.9.3 bundles a version of liblz4 that is vulnerable to\n[CVE-2021-3520](https://nvd.nist.gov/vuln/detail/CVE-2021-3520).\n\nAttackers could craft a payload that triggers an integer overflow upon\ndecompression, causing an out-of-bounds write.\n\nThe flaw has been corrected in version v1.9.4 of liblz4, which is included\nin lz4-sys 1.9.4.\n",
  "id": "GHSA-9q5j-jm53-v7vr",
  "modified": "2022-09-01T22:24:55Z",
  "published": "2022-09-01T22:24:55Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/lz4/lz4/pull/972"
    },
    {
      "type": "WEB",
      "url": "https://rustsec.org/advisories/RUSTSEC-2022-0051.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "lz4-sys vulnerable to memory corruption via issue in liblz4"
}



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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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