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GHSA-8WFH-QXXV-3Q8C

Vulnerability from github – Published: 2023-07-26 12:30 – Updated: 2023-07-31 19:01
VLAI
Summary
Use after free in PaddlePaddle
Details

Use after free in paddle.diagonal in PaddlePaddle before 2.5.0. This resulted in a potentially exploitable condition.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "paddlepaddle"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.5.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2023-38669"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-416"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-07-26T22:30:22Z",
    "nvd_published_at": "2023-07-26T10:15:11Z",
    "severity": "HIGH"
  },
  "details": "Use after free in paddle.diagonal in PaddlePaddle before 2.5.0. This resulted in a potentially exploitable condition.\n",
  "id": "GHSA-8wfh-qxxv-3q8c",
  "modified": "2023-07-31T19:01:32Z",
  "published": "2023-07-26T12:30:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-38669"
    },
    {
      "type": "WEB",
      "url": "https://github.com/PaddlePaddle/Paddle/commit/43981874f5e1683b855eab871092fa9be58d6a44"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/PaddlePaddle/Paddle"
    },
    {
      "type": "WEB",
      "url": "https://github.com/PaddlePaddle/Paddle/blob/develop/security/advisory/pdsa-2023-001.md"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/paddlepaddle/PYSEC-2023-122.yaml"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Use after free in PaddlePaddle"
}



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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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